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Vetted Software Engineers
Pre-screened and vetted.
Nate Fedida
Junior Software Engineer specializing in full-stack development and applied machine learning
“Revamped a university academic calendar system into a Python-based calendar generation service, turning a weeks-long manual scheduling workflow into software that generates dozens of valid calendar combinations in under a minute. Also contributed to an Amazon search ML classifier by introducing precision/recall evaluation to better surface critical failure modes and improve prediction quality.”
Aaron Mcanerney
Mid-level Backend Software Engineer specializing in data platforms and reporting
“Built a production Medicare Q&A chatbot using OCR (pytesseract), LangChain chunking, ChromaDB embeddings/retrieval, and an Ollama LLM. Thinks in terms of practical tradeoffs (cost, model selection, static vs frequently-updated corpora) and emphasizes deterministic testing plus observability for reliable LLM workflows; also has experience automating non-technical teams' pain points (e.g., recruiting event integration).”
Prashant Singh
Mid-level Backend/Platform Engineer specializing in data pipelines, reliability, and AI-assisted ingestion
“Backend engineer who built and scaled a blockchain-based e-voting platform at early-stage startup Elemential Labs, balancing decentralization with real-world operability by centralizing control-plane components while keeping the ledger immutable. Has hands-on experience migrating high-throughput ingestion from Kafka to AWS Kinesis with parallel cutover, strengthening data integrity and read-after-write consistency (Elasticsearch), and hardening pipelines against silent data-quality failures via anomaly detection and self-healing automation.”
“Built and productionized a secure internal RAG-based AI assistant (LangChain/FastAPI/FAISS on GCP), tackling real-world issues like latency, retrieval speed, and hallucinations—delivering 25% faster retrieval and 99.9% uptime. Also implemented scalable, reliable ML retraining orchestration with AWS Step Functions/SageMaker/Lambda and partners closely with compliance analysts to iteratively refine prompts and outputs to meet governance standards.”
Mid-level Software Engineer specializing in Embedded Connectivity and AI/ML
Mid-Level Software Engineer specializing in Java/Spring microservices and real-time data systems
Junior Software Engineer specializing in test automation and full-stack web development
Senior Software Engineer specializing in backend automation and CI/CD for game development
Mid-Level Software Engineer specializing in microservices, cloud, and machine learning
Mid-level Full-Stack Developer specializing in cloud-native Java and modern web apps
Senior Backend Software Engineer specializing in Supply Chain and Generative AI
Senior Backend/Full-Stack Engineer specializing in scalable APIs, Kubernetes, and streaming
Mid-Level Software Engineer specializing in distributed systems and ML pipelines
Mid-level Full-Stack Engineer specializing in backend systems, streaming, and GenAI
Intern AI Engineer specializing in LLM/RAG and full-stack product development
Mid-Level Software Engineer specializing in backend, cloud, and AI-powered systems
Junior Software Engineer specializing in backend APIs and Salesforce integrations
Director of Data Platform Engineering specializing in scalable pipelines and observability
Mid-level DevOps/Platform Engineer specializing in CI/CD and systems integration
Senior Full-Stack Engineer specializing in Python backends and React frontends
Senior Front-End Engineer specializing in Banking & Capital Markets