Vetted Workflow Automation Professionals

“AI automation builder who shipped an OpenAI-powered weekly "trending AI tools" WoW reporting system (65 categories) that reduced a 6–7 hour manual process to ~10 minutes at negligible API cost. Also building a RAG-based content creation prompt engine that turns PDFs into storyboards with fact-checking/traceback to source lines, plus experience with AWS deployment components (Lambda, ECR, App Runner, Bedrock, API Gateway) and GitHub Actions.”

Hunter Brady

Screened ReferencesModerate rec.

Mid-level Full-Stack Software Developer specializing in enterprise SaaS and mobile apps

Bradley Beach, NJ5y exp

“Product-minded full-stack engineer with experience building highly configurable multi-tenant dashboard/form platforms at Voxvita and workflow automation tools at Triad Unlimited. Stands out for turning brittle one-off implementations into reusable services and primitives, including dynamic data-fetching layers, configurable UI systems, and a PHP-based invoicing engine that became the company standard.”

“Growth-creative and paid social marketer who runs funnel-informed creative experiments across Meta/LinkedIn (and adapts learnings to TikTok/YouTube), optimizing beyond CTR/CPL to MQL and qualified CPA. Demonstrated measurable impact by using modular creative systems, rigorous tracking (pixels + CRM events), and structured creator/editor direction to improve lead quality and downstream conversion.”

Pravelliika Chirivella

Screened

Mid-level Full-Stack Developer specializing in Django/React and FinTech automation

New York, NY3y exp

“Product-minded full-stack engineer who owns customer-facing products end-to-end and iterates quickly using MVP validation, feature flags, automated testing, and staged rollouts. Has built TypeScript/React systems with modular backends and designed microservices with async messaging (RabbitMQ), handling scale issues like ordering, retries, and idempotency. Also delivered an internal ops automation tool with a self-serve real-time workflow dashboard that reduced errors and drove rapid adoption.”

Jasmeet Kaur

Screened

Senior HR & People Operations Leader specializing in organizational design and workforce planning

8y exp

“Operations-focused startup advisor/consultant who builds lightweight, scalable internal systems (ownership mapping, cadences, Notion, OKRs) for early-stage teams. Drove measurable ops impact including a 35% reduction in onboarding time at Securiguard by implementing an automated onboarding platform integrated with HRIS, and is experienced coaching founders through change resistance while maintaining speed.”

Deva Sai Kumar Bheesetti

Screened

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

Lowell, MA5y exp

“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.”

utkarsh jaiswal

Screened

Intern Marketing Analytics professional specializing in GA4, experimentation, and BI reporting

Boston, MA3y exp

“Outbound-focused business development profile spanning a family-owned construction materials business in India and an early-stage startup (Jetvoy) targeting Web3/travel partners. Built ICP, messaging, and a spreadsheet-based CRM from scratch, ran multi-channel campaigns (email/LinkedIn/calls), and leveraged tools like Sales Navigator, Apollo, HubSpot/Sheets, Zapier-style automations, and ChatGPT to improve reply/meeting rates through personalization.”

Shrey Patel

Screened

Junior Software Engineer specializing in AI-driven backend and full-stack systems

New Brunswick, NJ2y exp

“Full-stack AI engineer who has built both a healthcare voice-feedback system for Rutgers Health and an LLM-powered meme generation pipeline at Attention.ad. Stands out for combining React/TypeScript, FastAPI, Postgres, real-time systems, and frontier-model orchestration with practical product instincts, including measurable latency/cost improvements and strong iteration based on user feedback.”

Juan Medrano

Screened

Mid-level Software Engineer and Game Developer specializing in Unity and .NET

Mexico, Mexico6y exp

“Unity gameplay engineer with unusually broad range: architected a node-based climbing/traversal system for SOPA, shipped across mobile and WebGL, and also built AI-powered developer tooling that reads tickets, proposes code changes, and automates Git/PR workflows. Stands out for combining hands-on gameplay systems, performance/accessibility work, multiplayer optimization, and practical AI workflow integration.”

“Built and deployed a scalable, production-ready LLM knowledge assistant using a RAG architecture (LangChain + vector store/FAISS) to replace keyword search for internal documents. Demonstrates hands-on expertise in hallucination reduction and retrieval quality improvements through semantic chunking, similarity tuning, prompt design, and human-in-the-loop validation, plus strong stakeholder communication via demos and visual explanations.”

“Product/UX designer with experience digitizing Penske trucking operations and Ridecell fleet lifecycle/workshop orchestration systems. Designs complex, high-liability industrial workflows using a state-driven interaction model and a calm, high-clarity visual language, backed by targeted field research with drivers and ops teams and strong collaboration with engineers (React/Tailwind, Storybook, code-linked prototypes).”

“Backend Python engineer who architected an event-driven order integration engine connecting EDI vendors to ERP/WMS/3PL systems, including a canonical order model and adapter framework to eliminate per-customer hardcoding. Has hands-on Kubernetes production experience (microservices, Celery workers, CronJobs, HPAs) and implemented GitOps/CI-CD using GitHub Actions, Docker, and ArgoCD, including moving deployments from on-prem to Azure.”

“AI research engineer who has built and tested LLM agents end-to-end, including a Telegram real-time voice-to-typing assistant integrated with calendar scheduling. Emphasizes production concerns (security via mic-triggered activation, multi-model fallbacks, monitoring) and agent predictability using a GPT-3.5-based critic plus structured outputs (Pydantic) and ReAct-style orchestration.”

“Full-stack product engineer who builds and owns production features across Next.js/React/TypeScript and Java Spring Boot, with strong Postgres data modeling and performance tuning. Has delivered measurable improvements (60%+ faster renders, 2s→100ms queries, 50% lower workflow latency) and built reliable Kafka-based workflows with robust observability (Prometheus/Grafana/Alertmanager) and high test coverage.”

Pranav Zagade

Screened

Junior Software Engineer specializing in full-stack and AI systems

Arizona, USA3y exp

“Built and shipped an LLM-powered support agent for Community Dreams Foundation that automated intake and Jira ticket creation using RAG, structured outputs, and strong production guardrails. Demonstrated practical production AI experience with 92% routing accuracy, 98% uptime, and a 31% improvement in first-response accuracy, plus hands-on work in observability, evals, idempotency, and failure handling.”

“Analytics candidate who has built full-stack data products end to end: from cleaning 1M+ retail transactions in MySQL to Python-based market basket analysis, churn segmentation, and Streamlit dashboards with Gemini-powered business recommendations. Also built a reproducible predictive modeling workflow for concrete strength forecasting, showing a blend of SQL, machine learning, and stakeholder-friendly delivery.”

“Hands-on paid media marketer with experience owning strategy and execution across pharma, healthcare, and consumer brands, including a $25MM pharma campaign at Lucid Group and major platform launches at Sorenson Communications. Stands out for combining cross-channel activation (Google, Meta, LinkedIn, programmatic) with analytics-driven optimization, including cutting CPL from $300+ to $75 and driving strong prescription adoption and ROI.”

Elizabeth Tran

Screened

Junior product and operations leader specializing in AI automation

Virtual, USA3y exp

“Babson-affiliated outreach and partnerships lead with hands-on experience helping an Austin robotics startup and Babson's AI lab drive growth through AI-assisted outbound campaigns. Stands out for combining modern AI tools, community-based prospecting, and personalized messaging to generate event signups and secure high-profile partners like Anthropic, ElevenLabs, GitHub, and Cursor.”

“Built a production LLM/RAG document extraction and game/quiz content workflow using LLaMA 2, LangChain/LangGraph, and FAISS, achieving ~94% accuracy and reducing turnaround from hours to minutes. Demonstrates strong applied MLOps/orchestration (CI/CD, MLflow, Databricks/PySpark), robust handling of noisy/variable document layouts (layout chunking + OCR fallbacks), and practical reliability practices (human-in-the-loop routing, drift monitoring, A/B testing).”

“New-grad backend engineer who built a real-time genome analysis pipeline, replacing a slow batch system with an event-driven distributed architecture in Python/Redis and a React progress dashboard. Reports ~6x improvement and cutting analysis time from days to hours with zero data loss under peak load, emphasizing reliability patterns like retries and idempotency plus API security (JWT/RBAC/HTTPS).”

“Applied AI/ML engineer with hands-on production experience building a RAG-based AI assistant for pharmaceutical maintenance troubleshooting using LangChain + FAISS/Pinecone, including a custom normalization layer to handle inconsistent terminology and duplicate document revisions. Also built Airflow-orchestrated pipelines for document ingestion/embeddings and predictive maintenance workflows (SCADA ETL, drift-based retraining), and partnered closely with production supervisors/quality engineers via Power BI dashboards and real-time alerts.”

“Data engineer who has owned production pipelines end-to-end, ingesting 50–100 GB/day from APIs/S3 and near-real-time Kafka into Snowflake with strong data quality gates (Great Expectations/dbt) and Airflow-based reliability (SLAs, alerting, dashboards). Also built a Snowflake-backed REST data API with caching/pagination and versioned endpoints, and designed a compliant, scalable web-scraping system with anti-bot handling and safe backfills.”

Rahul Vashisth

Screened

Director-level Talent Acquisition leader specializing in data-driven and AI-enabled recruiting operations

Arlington, VA12y exp

“Recruiting leader who has managed a 23-person team and drives performance through servant leadership, coaching, and recognition. Partnered with HRBPs on employee-care initiatives to embed assessments/certifications and improve team capability, and successfully pitched the CEO to build a dedicated LinkedIn Recruiter/social media sourcing team that delivered results within months.”

Sangat Shah

Screened

Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js

Los Angeles, CA5y exp

“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”