Pre-screened and vetted.
Junior Full-Stack & AI Engineer specializing in computer vision and cloud platforms
“Early-career backend engineer and solo builder of FrameFindr, an AI/OCR-based marathon photo tagging product used at live events. Demonstrated pragmatic scaling under tight infrastructure constraints (2GB VPS) and hands-on ownership of architecture, API design, auth (Google OAuth/JWT), and a MongoDB-to-MySQL migration with data-integrity safeguards.”
Mid-level AI Engineer specializing in Generative AI and multimodal RAG systems
“GenAI/LLM engineer who built and productionized a 0-1 application (EMULaiTOR at Lumanity) combining qualitative + quantitative data using Postgres/pgvector RAG and prompt engineering, deployed with Azure backend and AWS-hosted frontend. Demonstrates strong production instincts (latency reduction via region alignment, autoscaling/health checks) and hands-on agent/tool-call debugging, plus experience enabling sales and winning a large pharma client.”
Mid-level Full-Stack Software Engineer specializing in cloud, data science, and ML systems
“Backend/data engineer focused on AWS-based, low-latency event processing for market data and social-signal sentiment systems. Has led a monolith-to-event-driven migration with feature-flagged incremental rollout, and emphasizes production-grade security (OAuth2/JWT, secrets management, Supabase RLS) and data integrity (deduplication/idempotency) under high-volume spike conditions.”
Senior Full-Stack Engineer specializing in AI-powered web products
“Backend/data engineer who has built production AI video generation services on AWS using a hybrid serverless + container architecture (FastAPI, Lambda, ECS, Postgres/Redis) with strong reliability practices (auth, retries/timeouts, structured logging, CloudWatch + Slack alerting). Also delivered AWS Glue ETL pipelines with schema evolution handling and modernized a legacy SAS healthcare reporting workflow to Python with parity validation and parallel-run migration.”
Mid-level Full-Stack Software Engineer specializing in cloud, data pipelines, and GenAI
“Full-stack engineer currently building an employee management system end-to-end with React, Node/Express, and PostgreSQL, including JWT auth and RBAC. Previously worked at TCS on large-scale State Bank of India web applications, applying Redis caching, server-side pagination/filtering, and async job offloading to improve performance and reliability.”
Mid-level Software Engineer specializing in backend microservices and cloud infrastructure
Junior Full-Stack Software Engineer specializing in cloud microservices and AI compliance
Senior Full-Stack Software Engineer specializing in Next.js, FinTech, and e-commerce
Senior Full-Stack Software Engineer specializing in real-time data platforms and cloud microservices
Mid-Level Full-Stack Software Engineer specializing in cloud platforms and AI/LLM applications
Mid-Level Full-Stack Engineer specializing in geospatial web and mobile applications
Mid-Level Full-Stack Software Engineer specializing in cloud, mobile, and GenAI
Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms