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Vetted GitHub Professionals
Pre-screened and vetted.
Manasa Pippera
Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps
“Full-stack engineer who owns customer-facing web products end-to-end (React/TypeScript + Node.js), shipping frequent releases with strong testing, staged deploys, and production monitoring. Improved a key user flow by batching backend calls and simplifying frontend rendering, driving ~30% faster load times and ~30% higher completion rates. Also built an ops monitoring dashboard using ELK + Prometheus/Grafana that cut incident response time by 40% and has hands-on microservices messaging experience (RabbitMQ/Kafka, idempotency, DLQs).”
Ron Lei
Junior QA Automation Engineer specializing in Playwright E2E and API testing
“QA automation-focused engineer who hardens production CI/CD by integrating and stabilizing end-to-end automated tests (tackling async UI flakiness, resilient assertions/selectors, and controlled test data). Demonstrates strong cross-layer troubleshooting by correlating logs and system metrics to resolve intermittent service reachability, then adding monitoring/alerts and documentation. Also partners directly with operators to improve real-world workflows by enhancing validation logic and error messaging.”
Swati Swati
Senior Data Scientist/Software Engineer specializing in ML systems and cloud DevOps
“AI software engineer with experience spanning LLM/RAG production systems and regulated fintech infrastructure. Built an end-to-end natural-language-to-SQL analytics assistant (Weaviate + GPT-4 + Supabase) shipped as an API with 92% accuracy and major time savings for non-technical users, and also owned demand-forecasting and CI/CD/containerization improvements for a Bank of America core banking deployment at Infosys.”
Femi Ayoade
Mid-level Robotics Controls Engineer specializing in ROS2 real-time motion control
“Robotics software engineer at Earthwise building a full ROS2 Humble warehouse AMR stack for bin picking—owning perception (Livox/Orbbec/RPLidar fusion + calibration), Nav2 navigation with custom planners/behavior trees, and application-layer nodes (barcode scanning, safety monitoring, web HMI). Demonstrated strong real-world debugging and performance tuning (sub-cm AprilTag docking; ~80% reduction in localization failures) plus solid simulation/CI practices (Gazebo + Docker + GitHub Actions).”
Srichandan Kota
Senior Full-Stack AI Engineer specializing in Generative AI and FinTech
“Backend engineer who built and owned an AI-powered financial research product end-to-end, using a typed NestJS/GraphQL backend with LangGraph-style agent routing to produce sourced, structured financial analysis. Emphasizes finance-grade correctness (Zod validation, metric registries, unit/empty-result guardrails) while keeping latency low via batching, caching, and fast token streaming, and has led incremental migrations using strangler/feature-flag/shadow traffic patterns.”
Uday Dorawala
Director-level Engineering Leader specializing in SaaS platforms, data, and cloud modernization
“Former founder with an acquired venture who later led R&D at McClatchy and joined multiple startups. Identified a major client need and built a mobile app platform using ML and AR for home builders, driving adoption by dozens of customers and $1M+ ARR. Strong hands-on builder who can architect MVPs, iterate quickly with A/B testing and user feedback, and scale early engineering teams and culture.”
Manvi Panjwani
Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems
“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”
Raj Patel
Junior Machine Learning Engineer specializing in LLMs and RAG systems
“Production-focused applied ML/LLM engineer who has deployed an LLM-powered RAG assistant and improved reliability through rigorous retrieval evaluation (recall/MRR), reranking, and guardrails that prevent confident wrong answers. Experienced running containerized ML/LLM services on Kubernetes (including AWS-managed layers) with CI/CD and observability, and has delivered a real-time predictive maintenance system using streaming sensor data and time-series anomaly detection in close partnership with maintenance teams.”
“Unity lead developer/project manager who builds VR storytelling and training simulator experiences, including hand-tracking-driven interactions and custom rendering (Shader Graph, forward rendering, occlusion culling). Created an educational Unity game (Bed Time Hunter) spanning gameplay, VFX/shaders, terrain/lighting, and Photon multiplayer, and built a VR office simulator that targets both Quest standalone and SteamVR while streaming cloud IoT sensor data.”
Nikunj Sethi
Mid-level Unity XR Developer specializing in VR/AR training, games, and immersive UX
“Unity developer with hands-on VR and multiplayer WebGL experience: reduced motion sickness in a VR bike riding game by implementing a helmet-style FOV reduction using a camera canvas. Built a small metaverse-style multiplayer house experience with Photon PUN 2, tackling host migration/ownership transfer and real-time object synchronization, plus voice chat.”
Haritha Kuraparthi
Mid-level Full-Stack Developer specializing in cloud data engineering and analytics
“Software developer with hands-on experience owning customer-facing work end-to-end (requirements, implementation, testing, and feedback-driven iteration) using Python and React.js. Also described remodeling an internal legacy page/tool to improve performance and accuracy, and has exposure to microservices and RabbitMQ plus ETL-based system work.”
Satwika Boppudi
Mid-level Site Reliability Engineer specializing in AWS cloud and AI-driven backend systems
“Backend/AI engineer in healthcare/insurance (mentions Cigna) who has shipped production systems spanning high-reliability APIs, async job architectures (Celery), and LLM/RAG features. Built an LLM document assistant with Terraform-managed AWS infra, semantic search retrieval, and strict permissioning/audit logs, and designed an automated prior-authorization workflow with human-in-the-loop escalation and compliance-driven thresholds.”
Kirill Aristarkhov
Junior Software Engineer specializing in full-stack, AI/ML systems, and game development
“Full-stack engineer (React/TypeScript + Bun/Node-like backend) who recently rebuilt a terminal-based chat UI, implementing custom Markdown lex/parse/render and a typewriter-style streaming renderer while optimizing React DOM growth for ~50% faster performance. Has startup experience making high-ownership decisions under ambiguity and rapidly integrating multiple external AI/tooling services (5–6 in a week) with fallback strategies for flaky dependencies.”
Hari Billa
Mid-level Data Scientist specializing in machine learning, NLP, and healthcare AI
“Senior data scientist with hands-on ownership of production ML and GenAI systems across enterprise churn, clinical Q&A, and real-time fraud detection. Stands out for combining strong MLOps discipline with measurable business impact, including $2M+ retained revenue, 10K TPS low-latency fraud infrastructure, and a clinician-reviewed RAG system that improved retrieval accuracy by ~38%.”
George Stathopoulos
Entry-level Software Engineer specializing in full-stack web development and applied systems work
“Full-stack developer with hands-on experience building an end-to-end automated trading platform that combines web scraping, relational data storage, Flask/React architecture, and LLM-based decisioning via Google Vertex AI. Also brings production experience at CALEC, where they contributed frontend improvements including welcome-page redesigns, multilingual support, and accessibility-related fixes.”
“Early-career full-stack developer who has independently built a job application platform with Apollo-based backend APIs, schema design, CRUD operations, and search/filter functionality. Also experimented with AI integration through an image-generation app, and is candid about still growing in production-scale engineering rigor.”
SREYAS GANGJI
Mid-level Software Engineer specializing in AI/ML backend systems
“AI/data engineer at ZS Associates focused on production-grade agentic systems, FastAPI microservices, and cloud-native ETL/RAG pipelines at significant scale. They’ve built multi-agent validation and diagnostic workflows inspired by their Copilot/KUBEPILOT AI work, supporting 500K+ records per day while improving ML inference performance by ~30% and cutting manual troubleshooting by 60%.”
Julia Vavrinyuk
Senior Software Engineer specializing in cloud, GenAI, and SaaS solutions
“Candidate combines B2B SaaS sales experience with hands-on technical delivery, spanning full-cycle selling at Consensus Cloud Solutions and GenAI POC leadership at Capgemini. Particularly interesting for Solutions Engineering roles that need someone comfortable with enterprise demos, AWS-based AI architectures, regulated-industry customers, and translating technical trade-offs into business decisions.”
VenkataKrishna Maguluri
Mid-level Java Full-Stack Developer specializing in scalable web applications
“Full-stack Java developer from Cognizant who built a real-time transaction monitoring and tracking platform for operations and customer visibility. Stands out for combining Spring Boot, React/TypeScript, Kafka, and CI/CD tooling to ship near real-time dashboards, while also working directly with users to refine requirements and improve performance in high-volume transaction environments.”
Haresh Anand
Senior Product Leader specializing in enterprise SaaS, telecom, and e-commerce
“Product leader focused on transforming legacy white-label personal cloud platforms into AI-native consumer experiences at global telecom scale. They led the launch of ML-powered features across brands like AT&T, Verizon, and SoftBank, drove ~25% MAU growth, and paired strong UX judgment with deep technical fluency in AI infrastructure, rollout governance, and cost optimization.”
Dishank Kailash Oza
Mid-level Full-Stack Software Engineer specializing in distributed cloud systems
“Engineer with a thoughtful, production-oriented approach to AI-assisted development, including multi-agent workflows for planning, coding, review, testing, and debugging. Stands out for treating AI systems like distributed pipelines with explicit interfaces, validation layers, and guardrails to improve reliability and reduce hallucinations.”
“Frontend-focused full-stack developer who built ApplyFlow, a job application tracking platform with reusable dashboard and Kanban components, real-time updates, and responsive UX. Also worked on a UI Replay project for visualizing high-frequency user interaction data, showing strength in performance-sensitive React applications.”
Dinesh Guguloth
Mid-level Software Engineer specializing in full-stack cloud-native applications
“Full-stack engineer with cloud and GenAI experience who has owned production features end-to-end, including a reporting dashboard optimized from 14s to 5s using query/API refactoring and monitored via AWS CloudWatch. Also productionized an OpenAI-powered chatbot using LangChain with prompt design, guardrails, and evaluation via production logs and user feedback, and has led incremental legacy-to-microservices modernization with parallel run to avoid regressions.”