.png){kind=logo}
Vetted Git Professionals
Pre-screened and vetted.
Ali Rahmati
Senior Machine Learning Engineer specializing in optimization, LLMs, and on-device AI
“Engineer with hands-on experience debugging and hardening a fixed-point implementation for an internal PoC, quickly diagnosing overflow/underflow issues that caused intermittent failures across thousands of runs and delivering a code fix. Comfortable presenting technical solutions with layered slide depth and doing follow-up deep dives for interested stakeholders, though has limited direct customer/sales partnership experience.”
Mounika Gunturu
Senior Python Full-Stack Developer specializing in cloud-native microservices and data platforms
“Backend/data engineer from Oliver Wyman who built and ran production Python (FastAPI) services on AWS (ECS/Lambda/API Gateway) supporting risk modeling and regulatory reporting. Strong in reliability/observability, Glue-based ETL with data quality controls, and legacy SAS-to-Python modernization with rigorous parity validation; also demonstrated measurable SQL performance wins and cost-control improvements in serverless scaling. Based in Raleigh, NC and can travel onsite for important Bethesda-area meetings.”
Jahnavi Bellapukonda
Mid-Level Software Engineer specializing in full-stack web and cloud systems
“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”
Seyi R. Afolayan
Mid-level Robotics & Controls Engineer specializing in safe autonomy and perception-aware motion planning
“Robotics software engineer who built an open-source, real-time Cartesian controller for Universal Robots UR5/UR5e, targeting sub-mm accuracy at 500 Hz within ROS2/ros2_control. Demonstrates strong real-time debugging skills (timing profiling, singularity handling with Tikhonov regularization) and sim-to-real iteration using Gazebo/Isaac Sim plus physical hardware tuning; also has ROS1 experience building URDF/xacro and EKF configs for an underwater vehicle and has developed drone/robot packages.”
Jainum Sanghavi
Mid-level DevOps Engineer specializing in cloud automation and Kubernetes platforms
“Robotics/ML engineer who has built SO(3)-equivariant models for robotic manipulation, including custom equivariant layers and differentiable point-cloud rasterization/derasterization workflows. Also brings 2 years of DevOps experience in banking systems, automating CI/CD and infrastructure at scale (managed 180 OCI servers; reduced rebuild downtime by 80%).”
Shivam Udeshi
Intern Robotics/ADAS Engineer specializing in perception, sensor fusion, and state estimation
“Robotics software engineer who built a multi-agent dense warehouse mapping system in ROS 2, including LiDAR-camera fusion SLAM, timestamp-based synchronization, and DDS-based inter-robot pose/keyframe exchange under bandwidth constraints. Also applied Gaussian Splatting for selective photorealistic dense reconstruction and optimized real-time performance with node composition, bounded queues, and QoS tuning; experienced with Gazebo/CARLA/Unity simulation and Dockerized ROS 2 deployments.”
Swathi Sankaran
Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI
“Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).”
Shravya Shashidhar
Intern Software Engineer specializing in LLM agents and full-stack development
“Embedded C++ engineer with Bosch automotive infotainment experience, owning real-time audio middleware modules with strict latency/memory constraints. Strong in profiling/optimizing deterministic behavior, debugging hardware-specific intermittent issues, and building automated test + CI pipelines; currently ramping up on ROS2 concepts (DDS, nodes/topics/services) to transition toward robotics.”
Sandeep Mekala
Director-level Mobile Engineering Manager specializing in Generative AI and agentic mobile experiences
“iOS player-coach who led end-to-end development of real-time customer support chat and unified notification systems for T-Mobile’s iOS app using SwiftUI, Firebase, WebSockets, and Core Data (including offline handling). Drove measurable reliability/latency gains (~30%) through a major notification refactor and owned a high-severity push-notification incident from rollback through RCA and backward-compatible hotfix, while also scaling team process and people management.”
“Built and productionized an AI-native, agentic appeals decisioning system for health insurance operations, automating 500k+ scanned appeals/year. Delivered measurable impact by cutting review time from 12–15 minutes to ~3 minutes and auto-resolving ~85% of cases with strong auditability, evaluations, and human-in-the-loop guardrails, deployed as containerized microservices on Azure AKS.”
Adrian Melian
Staff Technical Artist specializing in character pipelines, rigging, and tools for games
“Lead Tech Artist/animation systems specialist with UE5 locomotion and VR experience, including a complex VR mech setup where player arm motion drove mech arms with intentional lag using IK and follow points. Has shipped experience across Meta Horizon VR (built Unity profiling tooling) and Call of Duty (animation performance fixes for runtime cinematics), plus a strong track record building artist-first pipelines like modular rig builders and an AI skinning framework.”
Guojian Wang
Entry-Level Full-Stack Software Engineer specializing in React/Next.js and Node.js
“Full-stack engineer with hands-on experience building and owning production e-commerce features in Next.js (App Router) + TypeScript, including SSR-driven category browsing with pagination and region-specific pricing. Strong focus on post-launch reliability and performance—optimizes React rendering (lazy loading/Suspense), tunes Postgres queries with indexes/explain plans, and supports durable order-processing workflows with idempotency, retries, and structured logging.”
Fatim Majumder
Junior ML research engineer specializing in evaluation platforms and applied machine learning
“ML/LLM infrastructure engineer who built and shipped a production internal evaluation + failure-analysis agent (Arthur AI / R3AI context) that orchestrated end-to-end benchmarks with deterministic lineage, regression detection, and root-cause reporting at 5,000+ benchmarks/week. Also built backend observability and data validation systems for analytics pipelines at FullStory processing ~3.4B weekly events, emphasizing schema validation, quarantine fallbacks, and idempotent operations.”
Zahra Shergadwala
Junior Machine Learning Engineer specializing in AI, computer vision, and data systems
“Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).”
Darshan Patel
Mid-level Data Engineer specializing in financial and trading data
“Quant Data Engineer at ASX who is also building FinishKit, a full-stack SaaS that scans AI-generated codebases for bugs and production-readiness issues. Combines React/TypeScript, Supabase/serverless, Fly.io, and Postgres with strong product instincts, rapid iteration, and prior experience building secure multi-tenant data and dashboard systems across enterprise teams.”
Vidhi Chhatbar
Mid-level Full-Stack Engineer specializing in cloud microservices and FinTech
“Software engineer with experience across enterprise (AIG, MSCI) and an early-stage startup (Job Map), owning production systems end-to-end. Built secure insurance microservices on Spring Boot with JWT/RBAC and AWS-based CI/CD/observability, plus Kafka streaming pipelines for financial data. Also shipped a GenAI personalization MVP using FastAPI and LLM APIs in a high-ambiguity startup environment.”
Dominick D'Aniello
Staff Software Engineer specializing in interactive 3D, games, and developer platforms
“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.”
Colin McGravey
Entry-level Full-Stack Developer specializing in logistics and AI-powered web applications
“Backend engineer who led the end-to-end modernization of FleetView into a scalable, event-driven system supporting 1,000+ users and 13,000+ assets, cutting API latency by ~40%. Also built an AI-powered exit interview analytics pipeline on Azure using GPT-4o with strong guardrails, validation, and evaluation practices, showing a rare mix of production backend rigor and applied LLM workflow experience.”
Aditi Garg
Mid-level Software Engineer specializing in distributed systems and AI-powered platforms
“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”
Aarushi Mahajan
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and MLOps
“Internship experience shipping production AI systems: built an end-to-end RAG platform (Python/FastAPI + LangChain/LangGraph + vector search) to answer support questions from unstructured internal docs, with a strong focus on hallucination prevention through confidence gating and rigorous offline/online evaluation. Also delivered an AI-driven personalization/analytics feature using an unsupervised clustering pipeline, iterating with PMs to align statistically strong clusters with actionable business segmentation.”
Neeshma Narahari
Mid-level Software Developer specializing in backend microservices and cloud platforms
“Full-stack product engineer with strong React and TypeScript depth who has owned dashboard features end-to-end, from UI architecture and rendering optimization through Spring Boot APIs and database query tuning. Particularly compelling for startup or high-growth teams: they’ve shipped 0→1 internal operations platforms, prioritized MVP workflows effectively, and iterated post-launch using user feedback, logs, and usage metrics.”
Sreeaneesha Chenna
Mid-level Python Full-Stack Developer specializing in FinTech and AI integration
“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.”
Shiven Arya
Junior data and product analyst specializing in machine learning and analytics
“Senior at the University of Michigan who led most of the technical build for a real client-facing Medicare fraud detection system with explainable ML and an analyst-ready Streamlit dashboard. Also builds practical LLM tools independently, including a market sentiment pipeline over Reddit/news data and a resume parser/grader, showing strong product instinct alongside applied ML and data engineering depth.”
“Built end-to-end financial workflow platforms at Citi spanning React frontends, Spring Boot microservices, Kafka, Redis, and Oracle. Particularly compelling for teams needing someone who can modernize legacy systems into real-time architectures—the candidate cites a 48x throughput improvement from a batch-to-Kafka modernization effort.”