Vetted Stakeholder Communication Professionals

Pre-screened and vetted.

RG

Rithiwik Garuda

Screened ReferencesStrong rec.

Mid-level Full-Stack Engineer specializing in cloud-native, event-driven data platforms

5y exp
InfosysUniversity of New Haven

Backend/data engineer with hands-on production experience building Python (FastAPI/Flask) data enrichment services secured with Okta OAuth2 and monitored via Splunk/Dynatrace. Has delivered AWS event-driven and data-migration solutions (Lambda + Kafka to EKS; Glue from on-prem Oracle to S3/data lake) and modernized Informatica match/merge logic to cloud services using parallel-run parity validation and stakeholder sign-off.

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PB

Phillip Bruce

Screened ReferencesStrong rec.

Senior Unix/Linux & Storage Engineer specializing in data center, virtualization, and cloud infrastructure

Las Vegas, NV18y exp
Allegiant AirUniversity of Maryland Global Campus

UNIX infrastructure engineer with hands-on AIX 7.x and Solaris 11.4 operations, including high-severity Oracle/NFS I/O incidents resolved via MTU/Jumbo Frame tuning and performance tooling (iostat/vmstat/top/fio). Experienced in IBM Power (P5–P9) environments with VIOS/LPAR and PowerHA/HACMP (up to 8-node clusters), plus legacy Sun/Oracle SPARC and AIX migrations using custom Bash/Python discovery scripts and rsync-based cutovers.

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Meng Yang - Staff Software Engineer specializing in distributed systems, cloud platforms, and IoT in Columbus, OH

Meng Yang

Screened ReferencesStrong rec.

Staff Software Engineer specializing in distributed systems, cloud platforms, and IoT

Columbus, OH21y exp
M2M Technologies, Inc.California State University, San Bernardino

CTO/Chief Architect who rebuilt an IoT platform from a fragile legacy stack into an AWS-based, multi-tenant cloud-native system supporting 50k+ connected devices and 10M+ monthly events, then layered in real-time data pipelines and ML anomaly detection. Known for tightly aligning roadmaps and OKRs to business KPIs (onboarding speed, uptime, velocity) and for scaling teams into domain-focused pods; previously led a shift from LAMP to event-driven Node.js microservices using MQTT and message queues.

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Nash Boisvert - Senior Full-Stack Software Developer specializing in web, mobile, and cloud platforms in Edmonton, Canada

Nash Boisvert

Screened ReferencesStrong rec.

Senior Full-Stack Software Developer specializing in web, mobile, and cloud platforms

Edmonton, Canada5y exp
The Sports AuxiliaryNorthern Alberta Institute of Technology

Frontend engineer who built a live sports games hub end-to-end: ingesting and normalizing data from 4 external APIs, populating a high-volume live table, and delivering a real-time WebSocket-driven React/TypeScript dashboard. Strong on scalable architecture (SOLID, layered design, queues), performance/load testing with Docker, and startup-style ownership across code review, QA, and staged rollouts to web and app stores.

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Nidhi Sharma - Junior Software Engineer specializing in backend systems, AI, and cloud infrastructure in Noida, India

Nidhi Sharma

Screened ReferencesStrong rec.

Junior Software Engineer specializing in backend systems, AI, and cloud infrastructure

Noida, India2y exp
San José State UniversitySan Jose State University

Built multiple AI-heavy systems with a strong engineering lens on observability, reliability, and real-world usability, including an LLM gateway for auditability/failure isolation and Allyvision, an accessibility tool for visually impaired users. Also owned an end-to-end warehouse shipment tracking dashboard at Addverb Technologies that drove measurable operational gains, combining backend/data depth with frontend product execution.

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VK

VAISHNAVI KOTHAMIRKAR

Screened ReferencesStrong rec.

Mid-level Business Analyst specializing in banking, pharma, and enterprise systems

Florida, USA5y exp
Clarium Managed ServicesFlorida International University

Analytics professional with hands-on experience spanning enterprise supply chain data and workforce analytics. They’ve worked on a Manhattan Active WMS implementation for a pharmaceutical client integrating MAWM, JD Edwards, and Boomi, and also built SQL/Python/Tableau solutions for BankUnited/FIU to standardize retention and engagement reporting. Strong fit for roles requiring messy data wrangling, KPI operationalization, and stakeholder-trusted dashboards.

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RR

Rachid Raphael Sassine

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in cloud infrastructure and ETL pipelines

Horsham, PA4y exp
HCLTechWestern Governors University

Works on clinical trial applications and data pipelines, including AWS Lambda-based file transfer workflows for clinical study metadata. Has hands-on experience hardening production systems by adding observability, SSH/auth exception handling (Paramiko), retries/timeouts, and validating changes across SIT/UAT/prod. Also supports adoption through tailored technical demos for new teams and vendor partners integrating into their workflows.

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Pranathi Kamisetty - Intern AI Engineer specializing in LLMs, NLP, and conversational search in Chicago, Illinois

Pranathi Kamisetty

Screened ReferencesStrong rec.

Intern AI Engineer specializing in LLMs, NLP, and conversational search

Chicago, Illinois1y exp
G19 STUDIOUniversity of Illinois Chicago

Student building a production trip-planning LLM agent (LangChain + Streamlit) that routes user queries across multiple tools (maps/places/Wikipedia). Implemented zero-shot multi-label intent detection with priority rules to handle multi-intent requests, and collaborates with a startup product manager to shape tone, features, and user experience.

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VR

Varun Rao

Screened

Junior Data Scientist specializing in generative AI and RAG systems

San Francisco, CA3y exp
Guardian Airwaves LLCUC Davis

Data scientist at Guardian Airwaves building a RAG-powered quiz generator using Grok AI, with hands-on experience solving hard document-ingestion problems (PDFs with images/tables) via unstructured.io and LlamaIndex. Has deployed production systems on AWS EC2 and brings a pragmatic approach to agent reliability (human-in-the-loop, LLM-based eval, latency/cost metrics) while effectively translating RAG concepts to non-technical stakeholders.

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SG

Mid-level Full-Stack Software Engineer specializing in React, Node.js, and AWS

Remote, Canada5y exp
WeTalkingTechGeneral Assembly

Frontend engineer who led end-to-end architecture and implementation at Hostclass (startup) using Next.js/TypeScript/Twilio, including a distinctive live-session page with a 3-way screen-sharing capability. Experienced improving messy production codebases by consolidating duplicated workflow logic into reusable hooks and shipping high-risk real-time features with targeted QA and incremental rollouts under tight startup constraints.

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AM

Alaa Magdy

Screened

Senior Frontend Engineer specializing in React, Next.js, and React Native

Dubai, United Arab Emirates8y exp
ApostrophyArab Academy for Science, Technology and Maritime Transport

Frontend lead on an SME CRM for a bank, building a scalable multi-country/multi-product React/Next.js platform with a config-driven onboarding workflow and multi-role permissions. Emphasizes quality and maintainability through CI gates, a full testing pyramid, and disciplined server-state caching with RTK Query, plus feature-flagged rollouts and data-driven iteration from pilot user feedback.

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CM

Cole Moore

Screened

Mid-level AR/VR & Unity Developer specializing in mobile XR and real-time 3D

Utica, NY5y exp
TechnergeticsUniversity of Kentucky

Game/VR simulation developer who built and shipped multiple VR training levels (e.g., nursing and scientific method) at VXR Labs, owning level implementation and backend logic. Experienced in Unreal Engine 5 Blueprints prototyping (including a horde mode) and in designing tightly gated, step-based educational experiences while collaborating closely with educators/subject-matter experts to balance realism with VR feasibility.

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Deva Sai Kumar Bheesetti - Mid-level Full-Stack Engineer specializing in data automation, cloud & AI in Lowell, MA

Mid-level Full-Stack Engineer specializing in data automation, cloud & AI

Lowell, MA5y exp
University of Massachusetts LowellUniversity of Massachusetts Lowell

JavaScript engineer who effectively "maintains" an internal open-source-style React/Node.js shared library used by multiple teams—owning API stability, semantic versioning, CI/testing, logging, and documentation. Demonstrates strong cross-team debugging and change-management skills (schema-driven refactors, feature flags, validation layers) to ship new features without breaking existing workflows, plus a profiling/benchmarking-driven approach to performance.

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Sakethram Marpu - Junior Investment Analyst specializing in AI & DeepTech in Bengaluru, India

Junior Investment Analyst specializing in AI & DeepTech

Bengaluru, India2y exp
Capital-AVellore Institute of Technology

VC-style founder sourcer who uses technical signals (GitHub) and niche communities (Elpha/Indie Hackers/Discord) to identify early-stage opportunities, including thesis-driven sourcing in applied AI infrastructure/observability from YC W24. Emphasizes value-first LinkedIn outreach and long-horizon relationship building (e.g., built a personal relationship with Snitch’s CTO who later reached out first about a new startup).

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Kelly-Lee Dodge - Senior Marketing & Media Strategist specializing in brand communications and executive messaging in Cambridge, Canada

Senior Marketing & Media Strategist specializing in brand communications and executive messaging

Cambridge, Canada16y exp
RoadtrekConfederation College

Creator/partnerships-led growth marketer who drove Westfalia’s North America launch using creator-integrated campaigns, delivering a reported 566% quarterly sales uplift and 3M+ organic views. Builds creator-led GTM and acquisition loops, then optimizes with engagement/click data (e.g., reallocating budget, extending timelines, refining CTAs) while maintaining long-term creator relationships and onboarding emerging talent.

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Naisarg Halvadiya - Senior Full-Stack & AI Engineer specializing in scalable web platforms and LLM automation in Bengaluru, India

Senior Full-Stack & AI Engineer specializing in scalable web platforms and LLM automation

Bengaluru, India4y exp
Mu SigmaSan Francisco State University

Built a production agentic AI assistant in Python using Playwright plus Google Gemini’s vision capabilities to automatically document and execute UI workflows step-by-step, reducing developer time spent on trivial documentation/knowledge transfer. Also built an Apache Airflow ETL pipeline and has experience evaluating AI agents with human-in-the-loop methods, plus successfully communicated a vision-model-based CMS analytics PoC to non-technical university stakeholders and proposed it to Academic Technology with cost-savings rationale.

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RY

Senior Machine Learning Engineer specializing in LLMs, computer vision, and cloud AI

Tampa, FL9y exp
Aavishkar.aiUniversity of South Florida

Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.

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Joseph Hanna - Executive IT Leader specializing in digital transformation, cloud infrastructure, and cybersecurity in Irvine, CA

Joseph Hanna

Screened

Executive IT Leader specializing in digital transformation, cloud infrastructure, and cybersecurity

Irvine, CA20y exp
Safeway Tax ReliefInternational Business School of Scandinavia

IT/technology leader (mentions VP of IT) with experience modernizing legacy environments, implementing ERP and dashboarding, and migrating on-prem infrastructure to Microsoft Azure to support remote operations. Has worked in a context described as an acquired company and focused on scaling via automation, analytics, and cross-functional alignment with marketing around lead-generation metrics.

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Jason Sipula - Executive Technology Leader & Strategic Architect specializing in cloud-native platforms in Sacramento, CA

Jason Sipula

Screened

Executive Technology Leader & Strategic Architect specializing in cloud-native platforms

Sacramento, CA15y exp
Jewelry Supply, Inc.California State University, Sacramento

Technology leader with experience driving multi-year transformations at Jewelry Supply, including migrating a legacy custom e-commerce platform to SaaS and leading a 3-year ERP program from requirements through implementation and training. Also led a major architecture shift from self-hosted virtualized infrastructure to cloud Kubernetes with a strong DevOps/DevEx focus, emphasizing stakeholder buy-in and scalable processes for distributed engineering teams.

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Eric Vuu - Mid-Level Full-Stack Software Engineer specializing in cloud infrastructure and web applications in Huntington Beach, CA

Eric Vuu

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud infrastructure and web applications

Huntington Beach, CA5y exp
AuthoriumCal State Long Beach

Software engineer turned solutions/technical support engineer with 5+ years of experience supporting and migrating a custom CRM used by U.S. House of Representatives offices. Has hands-on ownership of database export/import scripting, API key-based integrations, and production troubleshooting, and also consults government customers on procurement/CLM workflows while partnering with sales/marketing on demos and adoption use cases.

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Joseph Barba - Executive Venture Builder specializing in company formation and go-to-market execution in Nashville, TN

Joseph Barba

Screened

Executive Venture Builder specializing in company formation and go-to-market execution

Nashville, TN14y exp
4th Quarter, LLCPenn State University

Startup operator and investor with experience as a partner at 4th Quarter and former Head of Business Development at Savage Ventures, where they ran the most profitable division across a 20-company portfolio. Currently building multiple ventures under their own studio, with several functional MVPs already developed and early signs of product-market fit.

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SP

Shreya Pareek

Screened

Mid-level BDR and analytics professional specializing in GTM execution and conversion optimization

Boston, MA4y exp
Madrasi ChaiBabson College

Outbound-focused sales candidate with experience spanning SaaS-style prospecting at ShineCo and customer-facing consultative selling at Madrasi Chai. Stands out for highly personalized, insight-led outreach into higher education and wellness organizations, including generating 10+ qualified leads per month and turning cold, initially resistant stakeholders into meetings through research-backed messaging.

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LG

Lavan Gajula

Screened

Mid-level GenAI Engineer specializing in LLM agents and production AI workflows

New York, NY5y exp
Lara DesignNew England College

Designed and deployed end-to-end LLM-powered AI agent systems to automate knowledge-intensive workflows across marketing/GTM, recruiting, and support. Brings production reliability rigor (evaluation pipelines, monitoring, testing, A/B experiments) plus orchestration expertise (Airflow, Prefect, custom Python) and a track record of translating non-technical stakeholder goals into working AI solutions (e.g., personalized customer engagement agent at Lara Design).

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IT

Executive venture builder specializing in AI and AdTech startups

Miami, FL7y exp
mAppsLomonosov Moscow State University

Operator with 10 years of experience helping other businesses grow, now launching their own startup focused on healthy screen time for children ages 2-6. They have completed an initial pitch deck for a brain-friendly kids app and emphasize post-funding execution, scaling, and sustainable systems over capital alone.

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