Vetted JWT Professionals

Priyam Shah

Screened

Mid-Level Full-Stack Software Developer specializing in React, Node.js, and Django APIs

Baltimore, MD3y exp

“Backend engineer who built Polyglot, a large-scale LLM code-translation benchmarking framework, orchestrating translation/compilation/testing with Pytest and storing traceable results for 100,000+ translations. Also built TestForge with FastAPI + LangChain/Ollama and scaled high-throughput evaluation using Celery + Redis, cutting processing time by over 50% through parallelism and batching.”

“Frontend engineer who led an end-to-end responsive enterprise banking platform in a regulated environment, emphasizing domain-based architecture, strict TypeScript contracts, and explicit state-machine-like flow modeling. Implemented Redux + React Query state separation, claimed 100% Jest coverage, and improved Jenkins CI/CD to speed deployments ~30% while also resolving major re-render performance bottlenecks.”

Tarun Gowda

Screened

Mid-level AI Engineer specializing in Generative AI and multimodal RAG

Morristown, NJ3y exp

“Full-stack engineer who helped build and launch an internal genAI platform called GAIL, supporting multiple LLMs, confidential document upload for RAG pipelines, and collaborative chat. Worked across FastAPI, React/TypeScript, AWS/DynamoDB, and Azure, with notable ownership of backend RAG logic, MCP integration architecture, and frontend fixes that improved chat usability.”

“Lead developer on a Warner Brothers Discovery media management platform, building Python/Flask APIs and AWS-based workflows. Delivered a serverless search overhaul (Lambda + API Gateway + OpenSearch Serverless) while maintaining parity with legacy Rekognition tag-based search, and implemented event-driven ETL (SNS/SQS) to ingest/validate CSV metadata into PostgreSQL with strong logging and incident response practices.”

“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”

Thanuja Mudududla

Screened

Mid-level Software Engineer specializing in full-stack cloud and agentic AI systems

San Jose, CA3y exp

“Backend engineer with hands-on ownership of production systems across maritime tracking, HR tech, and AI-powered document workflows. They combine strong operational instincts with measurable impact—cutting API latency from 10s to 3s, improving query performance by 60%, reducing deployment time by 50%, and driving 70% infrastructure cost savings with serverless design.”

Sreevalli Santhavel

Screened

Director-level AI Product Manager specializing in GenAI, LLMs, and SaaS platforms

Texas, USA12y exp

“Technical Product/Program Manager with architect-level involvement who leads customer-facing product builds from sales discovery and Figma design through engineering estimation, schema decisions, and cloud deployment. Has shipped integrated ecommerce and auction products, including vehicle inventory workflows tied to Salesforce, Stripe, and QuickBooks, and has applied AI/ML to warehouse QA, defect detection, and pricing recommendations.”

“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”