Vetted Git Professionals

Pravalika Kuppireddy

Screened

Mid-level AI/ML Engineer specializing in Generative AI and intelligent automation

4y exp

“LLM engineer who built and productionized a system to classify GitHub commits (performance vs non-performance) using zero-/few-shot approaches over commit messages and diffs, working at ~5M-record scale on multi-node NVIDIA GPUs. Experienced orchestrating end-to-end LLM pipelines with Airflow and GitHub Actions, and emphasizes reliability via testing, guardrails, and observability while collaborating closely with non-technical product stakeholders.”

Valeriy Filin

Screened

Senior Backend/Cloud Engineer specializing in IaC, SaaS platforms, and ML/Computer Vision

Aliso Viejo, CA19y exp

“Backend/infrastructure engineer with experience across API development (FastAPI/MySQL/SQLAlchemy), Kubernetes deployments, and large-scale data processing—built a Dockerized Python pipeline to pre-aggregate ~1B Graylog events for efficient querying. Has enterprise infrastructure automation background at Hewlett Packard Enterprise (Datafabric) using Terraform/Ansible with fail-fast and rollback practices, plus Kafka-based sensor streaming prototypes to Google Cloud with Java workers and autoscaling.”

Rahul Solleti

Screened

Mid-Level Software Engineer specializing in cloud-native microservices and full-stack web apps

United States5y exp

“Backend/platform engineer focused on real-time financial fraud detection and transaction monitoring, building low-latency FastAPI + Kafka systems with strong reliability patterns (DLQs, idempotency) and cloud observability. Has hands-on Kubernetes delivery across AWS EKS and Azure AKS with automated CI/CD and GitOps-style deployments, plus experience migrating legacy C# / Java monoliths to containerized microservices using Terraform/ARM and zero-downtime rollout strategies.”

“Built and shipped a widely adopted, production-grade RAG internal search assistant that unified scattered engineering knowledge, deployed as a FastAPI service on Kubernetes with FAISS + LangChain. Demonstrates deep practical expertise in retrieval tuning (chunking, hybrid search, re-ranking) and in making LLM workflows reliable in production via guardrails, monitoring, and evaluation, plus strong cross-functional delivery with non-technical operations teams.”

Oyku Yamakoglu

Screened

Senior Game Developer specializing in interactive systems and real-time graphics

New York, NY6y exp

“Lead Programmer and Technical Artist on the 3D isometric boss-battler RPG Highrollers, where they owned core gameplay and technical architecture for an 11-person team. They stand out for building modular Unity/C# systems that improved iteration speed, plus adjacent experience in real-time vision/inference pipelines and small-scale multiplayer using Photon and Unity Netcode.”

“Data analyst with cross-industry experience spanning insurance analytics at L&T Infotech and experimental imaging analytics at Mylyser. Stands out for building scalable SQL/PySpark data pipelines, standardizing business-critical metrics like claims lifecycle and policy retention, and delivering measurable impact such as 50%+ faster query performance and a 15% reduction in claims settlement time.”

“Built a production LLM-assisted workflow for customer configuration data migrations, combining agentic parsing with deterministic validation and fail-safe pipeline design. Stands out for turning messy ERP and operational data into reliable, repeatable transformations while improving accuracy and cutting manual effort by more than 80%.”

David Alvarado

Screened

Junior Business Analyst specializing in data analytics and BI

Orlando, FL3y exp

“Analytics candidate with insurance domain experience at Chubb, combining strong SQL/Python data engineering for claims reporting with business-facing metric design in Power BI. Also built an MLB game outcome predictor that beat Vegas implied probabilities using public data, showing strong product thinking and applied modeling ability beyond standard BI work.”

“Early-career full-stack builder who created an AI interview-prep platform used by 200+ students, tested it with a 25-student study group, and earned recognition through the CUNY Startup accelerator, including prize money and local college adoption. Has also shipped compliance-sensitive AI products in healthcare marketing and operational tools like invoice approval systems, showing unusual breadth across AI, UX, and backend systems.”

“Analytics professional with experience spanning financial services and e-commerce, including NAV reconciliation/reporting at State Street and revenue optimization work on checkout and retention. Stands out for combining strong SQL/Python data engineering with business-facing analytics, delivering measurable gains like 3-5% conversion improvement and 8-10% payment success uplift.”

Anirudh Venkatesh

Screened

Mid-level XR/Unity Developer specializing in AR/VR and immersive applications

Riverside, CA5y exp

“Unity developer with hands-on experience across VR, AR, multiplayer, and AI-driven gameplay systems. They’ve owned end-to-end interaction architecture for VR cognitive testing focused on accessibility, integrated Gemini-based command systems into gameplay, and shipped cross-platform immersive applications spanning Magic Leap 2, iOS, and Photon-powered multiplayer experiences.”

“Built OpenGPU features spanning React/TypeScript, Go orchestration, PostgreSQL, Redis, and Stripe, with a strong focus on reliability, transaction integrity, and low-latency distributed systems. Also shipped LLM product infrastructure, including persona-conditioned frameworks and reusable prompt/model abstractions, showing a blend of systems engineering and fast product iteration.”

“Built and deployed an end-to-end fintech product, FinSight, for bank statement analysis and financial Q&A using a production-style RAG architecture. Stands out for combining FastAPI, OpenAI embeddings, FAISS, hybrid SQL/vector retrieval, and practical reliability work like chunking optimization, validation, and low-latency performance tuning.”

Chaitanya Annabathana

Screened

Mid-level Software Engineer specializing in AI pipelines and enterprise integrations

USA5y exp

“Candidate has 4 years of experience and appears strongest in customer-facing implementation and AI-enabled workflow automation. They describe owning deployments end-to-end, putting an LLM support assistant with RAG and function calling into production, and improving support operations with a 30% reduction in resolution time and 25% gain in agent productivity.”

Austin Pierce-Ptak

Screened

Mid-level Software Engineer specializing in full-stack and ETL systems

Seattle, WA5y exp

“Backend engineer with end-to-end ownership experience across enterprise SaaS and high-volume data systems, including PostgreSQL/.NET services at Visual Lease and ETL pipelines at Broadridge processing millions of records for Fortune 500 clients. Stands out for combining production support, observability thinking, and pragmatic architecture tradeoffs, while also experimenting with LLM-powered job application automation using Claude.”

“Software engineer focused on backend and full-stack development who is already integrating AI deeply into day-to-day engineering workflows. Stands out for experimenting with multi-agent setups where separate agents handle planning, coding, review, testing, and documentation, while maintaining strong human oversight around quality, security, and performance.”

“Backend-focused engineer with hands-on experience deploying AI-driven document processing and RAG-based workflows using Python, LangChain, FAISS, and REST APIs. Has owned projects from requirements through post-launch monitoring, including debugging production retrieval issues and building reliable pipelines for messy PDFs/scans and compliance-oriented document analysis.”

Lucca Chantre

Screened

Intern Front-End Developer specializing in web and 3D graphics

Boston, MA0y exp

“Frontend candidate with unusually strong graphics-oriented experience, including React Three Fiber, Three.js, and WebGL. They have built interactive 3D UI behavior and physics-style simulations, and they speak concretely about rendering performance, mesh optimization, and camera-aware animation logic.”

Dan Phelps

Screened

Staff Full-Stack Engineer specializing in SaaS, AI workflows, and biotech platforms

Remote13y exp

“Founding frontend engineer at a biotech startup who built a greenfield scientific web platform for designing and simulating genetic constructs. Brings rare experience combining modern React/TypeScript architecture, performance tuning, and interactive biological data visualization in a domain where correctness and data integrity are critical.”

“Frontend engineer with hands-on experience building complex, real-time React/TypeScript products, including an AI-powered document Q&A dashboard and a geospatial analytics platform. Stands out for measurable performance wins—cutting UI interaction latency from roughly 300-800ms to 20-50ms—and for scaling map-based visualizations to tens of thousands of live entities using Mapbox GL, Deck.gl, WebGL, Web Workers, and Redux Toolkit.”

“Built a senior design project for Webquity LLC: a React/TypeScript Chrome extension and web app helping students with ADHD manage focus, tasks, and productivity across devices. Stands out for combining performance tuning, cross-device sync, accessibility-minded UX research, and polished UI touches like theming, weather-reactive backgrounds, and Lottie-based mascot animations.”

Nannalin Ongprasert

Screened

Senior Software Engineer specializing in frontend platforms and partner integrations

San Francisco, CA10y exp

“Frontend/product engineer with 9.5 years at HouseCanary building real estate data products across consumer and enterprise surfaces. They describe owning features end-to-end—from product shaping and API design to React/TypeScript architecture and deployment—including homeowner renovation calculators and real-time enterprise report-generation workflows.”

“Frontend-leaning full-stack product engineer with experience in insurance and financial analytics, combining UI design, React/TypeScript implementation, and backend integration. Stands out for shipping data-heavy dashboards, real-time collaborative features, and early generative AI document-analysis workflows using Spring Boot, LangChain, and AWS Bedrock.”

“Backend-focused engineer with banking-domain deployment experience who has owned releases end-to-end, from discovery and API/database implementation through post-launch stabilization. Brings a reliability-first mindset across distributed systems, incident response, and messy real-world data handling, and has also applied that foundation to retrieval-based LLM workflows in production-oriented cloud environments.”