Vetted LLM Integration Professionals

“Backend/data engineer with hands-on production experience across FastAPI/PostgreSQL APIs and AWS (Lambda, ECS) delivered via Terraform + GitHub Actions. Built Glue-based ETL pipelines into Redshift with schema evolution and data quality checks, modernized legacy reporting into Python microservices, and has demonstrated measurable SQL performance wins (multi-second query reduced to sub-300ms).”

Luka Baljak

Screened ReferencesStrong rec.

Senior Software Engineer specializing in full-stack web and AI-powered SaaS

Baljak Luka, Serbia7y exp

“Frontend-leaning product engineer who took broad ownership of a recently launched AI-powered customer support chat designed to deflect support tickets. They designed the overall system, built the full frontend, contributed to backend work, and served as a key source of product and technical continuity for a globally distributed team.”

“Backend engineer with experience building queue-driven Python/Flask systems using Celery, Redis/RabbitMQ, and SQLAlchemy/Postgres, including async/non-blocking architectures for concurrency. Also built a patient-facing full-stack app integrating LLMs (OpenAI/Claude) with streaming responses for real-time UX, and previously delivered high-throughput, reliability-critical background workflows at Dropbox (document expiration with batching, retries, and cache/side-effect handling).”

“Full-stack engineer who built an enterprise search platform (Codlens) delivering natural-language Q&A over Jira/Slack using embeddings, vector DB search, re-ranking (RRF), and LLM responses with source grounding. Also designed and benchmarked a distributed IAM system with Postgres transaction-log replication and Raft-based quorum consistency, reporting ~253 TPS at ~60ms latency in a multi-node setup. Experience spans early-stage startups (Zetic AI, Sagwara Capital) and large-scale orgs (Akamai, Atlassian).”

Dylan Tang

Screened

Intern Software Developer and ML Researcher specializing in medical imaging and computer vision

Chicago, IL0y exp

“AI/ML practitioner with experience spanning audio/LLM applications (built "Iota" using Whisper, tiktoken, and a local Ollama-served LLM) and healthcare ML (Facemed.ai; UChicago Radiology). Demonstrates a production-oriented mindset—focus on data/model fit, deterministic field testing, and operational safeguards—and has improved research evaluation workflows via a hash-table-based concurrent model tracking approach.”

Prateeksha Ranjan

Screened

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

Irvine, California4y exp

“Robotics software engineer who built and owned core navigation components for a TurtleBot in ROS/ROS2 and Gazebo, including an RRT-based planner, waypoint-to-velocity motion planning, and PID trajectory tracking. Demonstrates strong real-time debugging skills (control-loop timing under CPU load), costmap/occupancy-grid tuning, and distributed ROS2 communication design using DDS/QoS, plus Docker and CI/CD automation experience from Keysight.”

Advitha Bawgi

Screened

Junior Full-Stack Software Engineer specializing in cloud-native microservices

India1y exp

“Backend engineer with hands-on IoT and AI product work: built a decoupled Raspberry Pi + AWS IoT Core weather monitoring backend and a Dockerized FastAPI LLM service on AWS ECS using OpenAI/HuggingFace with an emerging RAG layer. Also delivered measurable performance gains at DAZN by redesigning event-driven/serverless ingestion (SNS, S3->Lambda->DynamoDB), cutting latency ~30% and boosting throughput ~25% while automating ~90% of manual sync work.”

“VR/social platform engineer with experience at AltspaceVR, Mozilla Hubs, and Dopple, spanning Unity/C#, custom engine networking, and early voice-agent systems. Particularly compelling for roles at the intersection of multiplayer, XR, and AI: they’ve built data-driven avatar systems, ownership-based netcode, VR replay capture, and a custom real-time voice->LLM->voice stack integrated with hardware and computer vision.”

“Python backend engineer with experience combining traditional API/microservices development and GenAI integrations, including healthcare claims workflows. Particularly compelling for teams building production AI systems: they pair hands-on work with LLMs, RAG, LangChain-style orchestration, and AWS deployment with a strong emphasis on reliability, security, and engineering discipline.”

“Deloitte technical implementation lead who functioned like a pre-sales/solutions engineer for ABBYY's intelligent document processing within the Argus GenAI platform. They supported enterprise-scale rollouts across 10+ countries, tailored deployments for local market needs, and combined integration, compliance, and Python automation work to deliver 95%+ extraction accuracy.”

“AI/ML engineer in financial services who has built both LLM-powered compliance tools and production fraud/credit risk systems at Ally Financial. Particularly strong in regulated, high-stakes environments: combines RAG/LLM architecture, rigorous evaluation, and human-in-the-loop governance, and also helped stand up a unified ML platform from scratch.”

Betsie Hoyt

Screened

Director-level Product Management leader specializing in SaaS, AI, APIs, and mobile products

18y exp

“Senior product leader in construction technology with experience at Trimble, where they helped reshape a fragmented 15-acquisition portfolio into a platform strategy that became central to how a $250M business is sold and supported. They combine enterprise platform thinking, AI product delivery, and change management, including launching a voice-based LLM workflow for regulated field reporting and coaching cross-functional teams into stronger product practices.”