Vetted Data Processing Professionals

Sampath Achalla

Screened

Mid-level Full-Stack Engineer specializing in Golang and cloud-native FinTech systems

USA3y exp

“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”

Tanvi Kulkarni

Screened

Intern Full-Stack Engineer specializing in Java, React, and cloud-native backend systems

Santa Clara, CA1y exp

“Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.”

“Analytics professional with experience spanning infrastructure, energy, and digital engagement data. They have built SQL and Python workflows to turn messy operational data into trusted reporting assets, and led a wind turbine SCADA analysis that quantified roughly $1M in cumulative performance loss and translated findings into actionable Power BI dashboards.”

“Backend/distributed-systems engineer with 9 years of Go experience, focused on financial-services platforms where performance, reliability, and regulatory auditability are critical. He has built low-latency market data infrastructure (p99 under 8ms) and optimized compliance/reporting systems used by finance and audit teams, combining strong systems design with practical production operations.”

“Unity VR developer who has shipped Meta Quest titles both independently (handling art, engineering, marketing, and self-publishing) and on teams focused on architecture and code. Recently worked on a multi-user VR experience using haptic gloves and holopotation, solving Photon multiplayer bandwidth issues by compressing high-volume data and implementing custom sync strategies. Also experiments with integrating LLMs into Unity for NPC interaction and uses AI tools pragmatically for straightforward tasks.”

Jeevan Hebbal Manjunath

Screened

Junior Robotics & Machine Learning Engineer specializing in autonomous systems

Tempe, AZ2y exp

“Robotics engineer leading development of a Physical Reservoir Computing controller for a pneumatic soft robotic arm, owning everything from automated data collection and leak-testing automation to hardware design/manufacturing and cross-lab integration with Virginia Tech. Built ROS 2/DDS-based multi-robot systems integrating OptiTrack, a lab quadruped, and a UR5e, and pairs simulation (Gazebo/MuJoCo) + PPO RL training with production-ready tooling (Docker, CI/CD, Flask dashboards, RAG chatbot portfolio).”

Srikanth Nagesh

Screened

Junior Data Analyst specializing in machine learning and institutional research

Bowling Green, OH2y exp

“Data/automation engineer with experience turning manual institutional reporting into production self-service analytics at BGSU, cutting turnaround time by 30% and eliminating semesterly reconciliation work. Also brings PySpark-based legacy data normalization experience at Hexaware and has built RAG-style LLM workflows with evaluation metrics and human-review guardrails.”

“Full-stack product engineer with hands-on ownership of both real-time product infrastructure and production AI systems. They shipped a notification platform that materially improved engagement and repeat purchases, and also built key layers of an AI support agent with strong reliability controls and user-centered UX improvements that boosted adoption.”

“Full-stack/backend-focused engineer from small startup-style teams, strongest in Python and React, with practical exposure to Go microservices. They’ve driven concrete improvements in API performance, PostgreSQL efficiency, and platform stability under load, and have built configurable B2B data platforms with role-based access control for enterprise users.”

Kathan Patel

Screened

Mid-level Generative AI Developer specializing in Python and LLM applications

5y exp

“Currently working on Kavia AI, an end-to-end AI coding platform that lets users generate enterprise applications from prompts and existing codebases via SCM integrations. The candidate has hands-on experience across the GenAI stack—prompt engineering, LangGraph-based multi-agent orchestration, RAG, knowledge graphs, FastAPI, and AWS monitoring—with a focus on making software creation accessible to non-technical users.”