Vetted Containerization Professionals

“Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.”

Mohammad Khaja Faizan

Screened

Junior Backend Software Engineer specializing in API-driven systems

Corpus Christi, TX2y exp

“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”

“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

Nechar KC

Screened

Entry-level AI Engineer specializing in full-stack LLM applications

Hayward, CA1y exp

“Built an AI-powered lecture-to-notes web app from personal pain at university, combining Spring Boot, React, PostgreSQL, and Python AI services for transcription and summarization. Also led architecture for FishBowl, a multi-agent Shark Tank-style pitch practice tool using GPT-4o, Perplexity, and ElevenLabs that won 1st place in the AI & Entrepreneurship track at HackHayward.”

“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”

“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”

“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”