Vetted Problem Solving Professionals

“QC Analyst with hands-on experience reviewing analytical data and quality documentation for final disposition, including catching a certificate of analysis data discrepancy and driving deviation/CAPA documentation. Has supported investigations into documentation/traceability risks, implemented SOP updates and retraining CAPAs, and monitored effectiveness post-implementation while managing QA timelines with proactive stakeholder communication.”

Kristen Giovanis

Screened

Executive operator and board advisor specializing in scaling PE-backed and founder-led services firms

Minneapolis, MN30y exp

“Former CEO of a rapidly scaling, PE-backed company (ULG) who rebuilt the operating model and unified fragmented systems after acquisition-driven growth. Implemented EOS and led phased deployments of NetSuite, Salesforce, Monday.com, and Power BI to create a connected, data-driven organization, with strong change-management and executive coaching experience.”

Laasya Muktevi

Screened

Intern Machine Learning Engineer specializing in forecasting, NLP, and RAG systems

San Jose, CA5y exp

“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”

Srikanth Reddy

Screened

Mid-level AI/ML Engineer specializing in GenAI and financial risk & compliance analytics

Plainsboro, NJ7y exp

“Built and deployed a production LLM-powered financial risk and compliance platform to reduce manual trade exception handling and speed up insights from regulatory documents. Implemented a LangChain multi-agent workflow with structured/unstructured data integration (Redshift + vector DB) and emphasized hallucination reduction for regulatory safety using Amazon Bedrock. Strong MLOps/orchestration background across Kubernetes, Airflow, Jenkins, and monitoring/testing with MLflow, Evidently AI, and PyTest.”

Bria Marks

Screened

Entry-Level Game Designer & Gameplay Programmer specializing in Unity and Unreal Engine 5

Los Angeles, CA1y exp

“Game designer with hands-on experience shipping and tuning a branching memory-deletion narrative system in Unity (Echoes of Memory), focused on creating emotional tension through meaningful player choice. Also builds and iterates cooperative level layouts in Unreal Engine 5 with ~1-week idea-to-playtest cycles, collaborating closely with teammates on Blueprint implementation.”

Gabriel Hatewa

Screened

Senior Customer Success Engineer specializing in SaaS and FinTech client solutions

San Francisco, CA8y exp

“AppSec-focused customer-facing practitioner with Worldpay experience advising clients on fraud reduction via stronger transaction validation and monitoring, translating technical controls into quantified business risk to secure buy-in. Has quickly learned and supported SonarQube in production by integrating it into CI/CD and guiding remediation, and has implemented security integrations in Kubernetes with secrets management and observability while resolving RBAC/network policy issues.”

Kevin Hand

Screened

Senior Game Designer and Producer specializing in 3D/VR interactive experiences

Chico, CA11y exp

“Lead game designer/producer who shipped a Fortnite TMNT-themed rogue-like dungeon crawler, owning progression, economy, and tuning. Improved retention measurably by replacing a linear points system with an exponential economy formula, increasing playtime by ~50%, and iterated quickly via playtests (mini-boss pacing, weapon drop-rate balance). Also built UE Blueprints for FPS animation montages and state transitions to address clunky movement feedback.”

Atharv Sankpal

Screened

Mid-level Data Analyst specializing in financial and healthcare analytics

Baltimore, MD4y exp

“Analytics professional with experience at JPMorgan and Deloitte, focused on financial and risk data. They stand out for building scalable SQL/Python data pipelines, KPI and forecasting dashboards, and retention/cohort metrics that improved reporting reliability, forecast accuracy, and planning speed.”

“Backend engineer who optimized an AI-driven portfolio analytics/insights platform at Fidelity, addressing latency and traffic growth by moving services toward microservices, improving service communication, and tuning API/DB performance. Experienced scaling Python/FastAPI services with Docker + Kubernetes autoscaling, and strengthening security/privacy for sensitive client portfolio data used in LLM-based reporting.”

“Music editor/composer working in Pro Tools and Cubase with experience on BBC's "Mammals" (including BTS segments), shaping documentary storytelling through stem-based edits, custom tension builds, and thematic payoffs. Blends technical mix discipline (headroom, -13 to -15 LUFS targets, QC) with hands-on sound design—recording and transforming original sounds into bespoke SFX using synths, plugins, and pedals.”

“Backend/data engineer focused on production-grade Python microservices and AWS platforms, including a hybrid Lambda + ECS Fargate architecture managed with Terraform and CI/CD. Has hands-on reliability experience (JWT/OAuth, timeouts, retries, centralized error classification) and built AWS Glue/PySpark ETL pipelines consolidating PostgreSQL/RDS, MongoDB, and S3 sources into curated partitioned Parquet datasets. Demonstrated measurable SQL tuning impact (8 minutes to 25 seconds) and disciplined legacy-to-modern migrations with parity validation and UAT sign-off.”

“GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.”

“Data/ML practitioner with experience at UnitedHealth Group building a fraud claims detection solution combining structured claims data and unstructured notes, validated with compliance stakeholders to improve actionable accuracy. Also applied embeddings, vector databases, and fine-tuned language models in a Bank of America capstone to detect threats/anomalies in financial documents, with production-minded Python ETL workflows using Airflow.”

“QA/project leader with ~19 years experience running high-profile, multi-million-dollar software initiatives and driving quality through disciplined milestone gates (Alpha/Beta/FC/GM), regression planning, and weekly bug scrubs. JIRA-centric practitioner (Zephyr/Confluence) who partners closely with engineering, automation, documentation, marketing, and sustaining teams—including offshore collaboration—to unblock testers and improve diagnostics for difficult issues like memory leaks.”

“Former mechanical engineering professional who pivoted into business development and drove major international growth through strategic partnerships (helping scale headcount from a few to 300+ in 2–3 years). Now finishing an MBA (graduating in May) and building a recruiting/hiring-manager-focused product—prototype complete, validating demand, and aiming to launch an MVP within ~2 months before fundraising.”

SAI NAGINI VALLURUPALLI

Screened

Junior Full-Stack Java Developer specializing in Spring Boot microservices and React

Frisco, TX3y exp

“Full-stack Java/Spring Boot + React engineer (3–4 years) who built an end-to-end smart employee management system and a data analytics dashboard handling millions of daily transactional records. Emphasizes scalable layered REST API design, secure microservices practices (Spring Security, JWT/OAuth2), and performant React state/data patterns (Redux Toolkit + RTK Query) for large datasets and role-based views.”

Ganesh Pittala

Screened

Senior Software Engineer specializing in distributed systems and cloud-native platforms

New York, USA5y exp

“Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).”

Arya Thorat

Screened

Mid-level Software Engineer specializing in cloud-native distributed systems

Texas, USA5y exp

“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”

Kuwarpreet Singh

Screened

Junior ML and Full-Stack Engineer specializing in AI/ML applications

Buffalo, NY3y exp

“Master's-trained candidate with an AI/ML specialization who combines hands-on machine learning project work with practical AI-assisted software development. They actively use Claude, ChatGPT, and Claude Code for debugging, API integration, multi-file refactoring, and end-to-end feature scaffolding, while emphasizing validation against official docs before shipping.”

Subhash Nair

Screened

Senior Talent Acquisition Specialist specializing in IT recruiting and AI-assisted sourcing

Dallas, TX15y exp

“Recruiting operations lead with 6 years supporting Capgemini/Capco-style client hiring, owning end-to-end workflows in Greenhouse. Implemented a technical pre-screen coding round and integrated HackerRank with the ATS to dramatically increase interview throughput and improve candidate quality, contributing to high-volume placements for Freddie Mac and closing a 20-role surge across BA/PM and engineering roles.”