Vetted Python Professionals

Dwarakesh Rajesh

Screened

Intern Robotics/Mechatronics Engineer specializing in automation and ROS2 systems

Boston, MA1y exp

“Robotics software builder who developed a solo fault-adaptive robotic arm: current-based joint health monitoring feeding an ESP32, ROS 2/MoveIt 2 motion planning that adapts to joint failures, and a custom brute-force IK solver to overcome URDF/MoveIt singularity issues. Also worked on real-time 12-microphone sensor-fusion audio processing for drone navigation, resolving buffer/noise problems with multithreading and chunked sampling; experienced with Webots/CoppeliaSim and learning Isaac Sim.”

Yusuf Abdikadir

Screened

Senior Software Engineer specializing in 3D simulation, digital twins, and robotics

London, United Kingdom6y exp

“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”

Sowbhagya Vegunta

Screened

Senior Front-End Developer specializing in React, Angular, and accessible UI

GTA, ON8y exp

“Frontend engineer who led end-to-end delivery of a complex, real-time dashboard/discovery and admin workflow module using React + TypeScript + Redux. Emphasizes quality at scale through automated testing (Jest/Playwright), accessibility validation (NVDA/axe), and reusable component architecture (Storybook), and has hands-on experience solving performance issues via bundle analysis and route-based lazy loading/code splitting.”

Naga Chandra mouli Thammineni

Screened

Mid-level Full-Stack Developer specializing in React and Spring Boot

Hyderabad, Telangana, India2y exp

“Software engineer who built and owned a centralized Asset Management platform at Hyundai Mobis used daily by multiple internal teams, delivering everything from UI/TypeScript React frontend to Spring Boot services, databases, deployment, and post-release support. Experienced in scaling microservices with Kafka-based async workflows, improving data consistency/real-time updates, and implementing reliability patterns like standardized API contracts, retries, DLQs, and targeted caching.”

Nagaveda Sai Kumar Reddy Gajjala

Screened

Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud integrations

Richardson, TX4y exp

“Backend engineer with enterprise SaaS experience (Zoho) who owned an end-to-end cloud integration between Endpoint Central and ServiceDesk Plus, redesigning device onboarding across 64+ scenarios and building a fault-tolerant sync engine that recovered 100% failed transactions. Also built and operated production systems across the stack—FastAPI services with strong testing/observability, React+TypeScript portals, PostgreSQL performance tuning, and AWS deployments with real incident response (RDS CPU saturation resolved with zero downtime).”

Ram Usarty

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native distributed systems

USA4y exp

“Backend/platform-focused engineer who has shipped production LLM agents for messy research dataset submissions, turning manual validation into an automated, reliable ingestion pipeline. Strong on production hardening (streaming large uploads, strict schema/function-calling outputs, idempotency, RBAC) plus eval/monitoring loops that improved data quality, reduced support burden, and increased adoption.”

Ojasmitha Pedirappagari

Screened

Mid-level AI Engineer specializing in LLMs, RAG, and agentic platforms

Jersey City, NJ5y exp

“Built and shipped a production RAG-based assistant that lets parents ask natural-language questions about their child’s learning progress, using pgvector retrieval (child-id filtered) and Redis caching to hit ~180ms latency. Implemented real-world guardrails and compliance (Llama Guard, COPPA, retrieval thresholds, fallbacks) with 99.5% uptime, and ran human-in-the-loop eval loops that improved satisfaction from 3.8 to 4.2 while serving 60k+ monthly users and reducing costs significantly.”

Srilekha Jakkula

Screened

Senior Data Engineer specializing in scalable data pipelines and API-driven data services

Chicago, IL5y exp

“Data engineer focused on building scalable, reliable end-to-end data pipelines and backend REST data services, spanning API ingestion plus batch/stream processing with Airflow, Kafka, Spark/PySpark, and SQL. Emphasizes strong data quality validation, monitoring/fault tolerance, and performance tuning for large datasets, with experience deploying in cloud environments using containerization and CI/CD.”

ABHISHEK AKODIYA

Screened

Senior Technical Animator specializing in MetaHuman pipelines and AI-driven character systems

Michigan, USA4y exp

“Unreal Engine gameplay/systems developer who owned core systems like NPC AI (AI Controller/Behavior Trees) and loot/itemization/economy, plus progression/difficulty frameworks for a shipped title. Notably drove mobile performance/packaging work, citing a ~75% reduction in AAA Android export size to get a high-end console-quality build under 500MB, including a custom Photoshop macro pipeline to process a massive texture library. Also prototyped advanced MetaHuman features (secure WebSocket, speech/visemes, expressions) using Blueprints and Unreal Editor Python utilities.”

Zubair Shaik

Screened

Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms

Remote, USA4y exp

“Built and productionized an LLM-powered loan decisioning agent at Bank of America, integrating RAG with microservices to automate creditworthiness assessment and recommendations. Emphasizes real-world reliability and governance (EKS autoscaling, observability, SOC2/PCI security controls), and drove measurable outcomes including 20% faster loan decisions and a reduction in agent failures/fallbacks to under 2% through schema enforcement and confidence-based routing.”

“Backend engineer who built a real-time, event-driven alerting platform (Java/Spring Boot, Kafka, MongoDB) processing millions of events per day on AWS (Docker/Kubernetes), including hands-on performance debugging of Kafka consumer lag at peak. Also shipped an end-to-end LLM-based alert summarization feature and designed a multi-step incident triage agent workflow with retries and human-in-the-loop escalation.”

“Backend/microservices engineer (Java/Spring Boot, Kafka, Angular microfrontends) with Teradata experience building distributed analytics/query routing platforms and delivering 20–30% latency reductions through event-driven redesign and reliability hardening. Also built and shipped an end-to-end multimodal medical imaging AI feature (LLaVA/Mistral 7B + LoRA) with production guardrails like confidence-based human review, drift monitoring, and audit logs.”

“Full-stack engineer with production experience across React/TypeScript, Node/Express, and Java/Spring Boot, operating containerized systems on AWS (EKS/ECS/EC2/RDS/S3) with strong observability (CloudWatch/Grafana). Notable for fixing a real checkout/order-placement failure end-to-end by adding frontend submission guards and backend idempotency with Redis + Kafka deduplication, then validating impact via technical metrics and business KPIs. Has also built Kafka-based integrations/pipelines with robust retry/backfill/reconciliation patterns in retail and banking contexts.”

“Strategic sourcing/procurement professional with experience at Gumpro and Micron leading indirect (MRO/CapEx) and critical component sourcing initiatives. Uses structured category strategy (spend/Kraljic/Pareto), RFX, risk management, and TCO/should-cost models; reports $10M+ savings and lead-time reduction from 60 days to 2 days while mitigating geopolitical/tariff exposure and strengthening supply resilience.”

“Backend/real-time systems engineer transitioning into robotics software: building ROS 2 fundamentals (pub/sub, custom messages, launch files) and experimenting with Nav2 + SLAM in Gazebo/RViz. Demonstrated practical debugging by tuning costmaps/planners and analyzing topic latency to stabilize simulated navigation, and has experience integrating telemetry pipelines and REST-based external interfaces.”

“Backend engineer who architected and owned a mission-critical outage management/decision-support platform, replacing a legacy system that failed under load. Emphasizes auditability, deterministic validation, and server-side concurrency controls (section locking, scoped autosaves), plus redundancy/load balancing and monitoring to keep the system stable for 24/7 operations handling 1,500+ weekly outage events.”

“DXArts PhD researcher and recent UW capstone contributor building autonomous robotics systems with ROS2 (SLAM Toolbox, Nav2) and Gazebo simulation. Currently focused on integrating a 9-DOF SparkFun IMU with motor controls on Raspberry Pi, and developing OpenCV ArUco-marker tracking for an automated BlueROV that can locate and retrieve underwater targets in collaboration with mechanical engineering.”

“Founding member of Tausight, building AI systems to detect and protect PHI for healthcare organizations; helped take the company through post–Series A funding and exited after ~6 years. Drove a strategic collaboration with Intel’s OpenVINO team—becoming the first to deploy it in a real production system and improving model performance by ~30% on customer Intel-CPU machines.”

“Built a healthcare app backend and supporting product pieces from scratch for Maverick Health—covering database schema, API structure, Node.js implementation, and UI design in Figma—while targeting 10,000 patients and keeping AWS run costs to ~$20–$30/month. Shipped an Android closed beta on Google Play and handled real-world launch hurdles like privacy policy compliance and push notification infrastructure.”

“Backend/integration-focused engineer in the Maryland area with production experience building FastAPI REST services secured with OAuth2.1/JWT and reliability patterns (timeouts, selective retries, idempotency, centralized error handling). Has delivered AWS-integrated MuleSoft/CloudHub solutions and supported AWS Glue ETL workflows, plus demonstrated strong SQL tuning with a 30–40s to 3–5s performance improvement.”

“Software engineer/product owner who has led end-to-end delivery of AI and content-management platforms, including building RAG-based reliability improvements and migrating fragile systems to containerized AWS ECS/Kubernetes with Terraform-managed CI/CD. Experienced designing event-driven microservices (SQS/SNS/RabbitMQ), scaling queue consumers with autoscaling, and creating internal Python tooling to standardize data connectors (e.g., BigQuery/Airtable/internal APIs) to speed iteration.”

“Accenture engineer who owned an insurance e-application end-to-end and drove incremental releases that reduced recurring production issues. Also built a TypeScript/React (Next.js) + NestJS microservices platform using PostgreSQL, Redis, Stripe, and Kafka, with strong focus on decoupling, eventual consistency, and scaling consumers under load. Created a hackathon chat-based internal assistant that used live form context and documentation-grounded answers to help agents resolve customer queries during form filling.”

“Built and shipped a production RAG-based enterprise knowledge assistant to replace slow/inaccurate search across millions of documents, using LangChain orchestration with GPT-4/LLaMA and vector databases. Strong focus on production constraints—latency, hallucination control, and cost—using hybrid retrieval, guardrails, LLM-as-judge validation, and model routing, and has experience translating non-technical stakeholder pain points into measurable outcomes.”

“Senior Unity UI/UX developer who led XR interaction design for a VR meetings/events platform (VRChat/Horizons-like), including a modular radial menu that served as the app’s primary control system. Also built a Pokemon Go-style Unity AR experience for a major shopping centre end-to-end, tackling real-world marker scanning challenges (lighting, reflections, installation) through iterative prototyping and testing.”