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Vetted Unit Testing Professionals
Pre-screened and vetted.
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Ramon Felipe Ferreira
Senior Software Engineer specializing in game development and multiplayer systems
“Game developer with hands-on experience shipping Unity/C# systems across live ops, multiplayer, AI-driven gameplay, and cross-platform VR/mobile optimization. Particularly notable for building a data-driven live events pipeline for Tomb Raider Reloaded that empowered non-developers and cut release turnaround from days to roughly 50 minutes across four store variants.”
Snigdha Reddy Podduturi
Junior Data & AI Engineer specializing in cloud AI and analytics
“Built production AI backend systems in healthcare and e-commerce, including a healthcare agent that automated clinical workflows like medication refills, immunizations, and scheduling using FHIR APIs and cloud-native infrastructure. Strong in end-to-end backend ownership, LLM orchestration, and adding guardrails/validation for high-stakes and customer-facing AI workflows.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”
Phat Dang
Junior Software Engineer specializing in full-stack, DevOps, and GenAI
“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”
Yumna Khan
Junior Frontend Engineer specializing in React, Next.js, and TypeScript
“Frontend lead on a SaaS platform who migrated the product from React/JavaScript to Next.js/TypeScript, improving Web Vitals (including LCP), SEO, and navigation performance. Strong focus on quality and scalability via automated testing and SonarQube quality gates, plus reusable component architecture (e.g., a shared table used across ~20 pages). Built complex analytics dashboards and an AI workflow drag-and-drop canvas UI using React Flow with iterative stakeholder-driven delivery.”
Nobin Johnson
Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development
“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”
Saivedant Hava
Entry AI Engineer specializing in LLMs, RAG, and MLOps
“Built and shipped a production Python-based agentic RAG document retrieval system over 80K records using FastAPI, OCR, vector search, and AWS infrastructure, with a strong emphasis on reliability, testing, and observability. Stands out for treating AI failures like production incidents—turning hallucinations, retrieval misses, and OCR issues into regression tests—and for quantifiably reducing document lookup time from about 12 minutes to under 90 seconds.”
Hedrick David
Senior Game Developer specializing in Unity, multiplayer, and VR
“Unity/VR engineer with nearly 15 years of experience, specializing in multiplayer architecture, cross-platform systems, and developer tooling. He built and shipped a reusable Unity Netcode-based multiplayer stack with authentication, matchmaking, Vivox voice chat, and custom host migration that reportedly improved development speed by 70% to 80%, and has also supported releases across Meta Quest, consoles, and mobile-related ecosystems.”
Mudit Devenkumar Choksi
Junior Full-Stack Software Engineer specializing in web apps, automation, and cloud systems
“Engineer with hands-on experience owning end-to-end industrial automation deployments and real-time data systems. Most notably led a multi-million dollar warehouse automation implementation that reduced manual intervention by 25%, while also building streaming text analytics pipelines and strengthening production reliability through robust observability and pipeline controls.”
Venkata Jithesh B
Mid-level Software Engineer specializing in distributed real-time systems
“Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.”
Santhi Sampath Gamidi
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Rakesh Kumar
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
Estevao Pereira
Mid-level Front-End & Mobile Engineer specializing in TypeScript, Angular, React, and Flutter
“Frontend engineer who led Curion’s end-to-end UI architecture for a real-time meetings/elections product, emphasizing scalability, testing, and CI/CD. Has built complex React+TypeScript dashboards (Redux) and improved a Flutter codebase with DDD and dependency injection, enabling smoother third-party swaps like Zoom to LiveKit and rapid delivery of Brazil-specific payment methods (PIX/Boleto).”
Sasaunk Vanamali
Mid-Level Full-Stack Software Engineer specializing in cloud-native apps and ML services
“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”
Almas Perneshev
Junior Full-Stack Engineer specializing in AI/EdTech and real-time web apps
“Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.”
Devanshi Desai
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”
Vamsi Mandhapati
Mid-level Full-Stack Java Engineer specializing in Generative AI and cloud microservices
“Full-stack engineer who has delivered production customer analytics/dashboard features using Next.js App Router + TypeScript on the frontend and Java Spring Boot microservices on the backend. Demonstrates strong production ownership (monitoring latency/error rates/adoption) plus hands-on performance work across React rendering and Postgres query/index optimization, and has implemented Temporal-like durable workflows with retries and idempotency.”
Sneha Sridhar
Mid-level Software Engineer specializing in cloud-native backend and distributed systems
“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”
Karan Savaliya
Junior Backend Engineer specializing in data platforms and cloud APIs
“Backend lead at a stealth startup and builder of MailIQ/MailBox—an automated Gmail inbox digest + cleanup system. Designed secure multi-account email ingestion and cost-efficient LLM-based summarization, and implemented robust unsubscribe automation using Playwright + OpenAI webpage analysis (including captcha-handling) with strong safety guardrails, incremental rollouts, and rollback strategies.”
Gaurang Thakar
Senior Unity Game Developer specializing in 2D/3D, AR/VR, and multiplayer games
“Indie/core Unity game developer with deep multiplayer networking experience, including client-server management and synchronization of animations/physics/player state using Photon Fusion, PUN, Mirror, and Socket.IO. Has shipped/implemented multiple networked game types (fish, poker, chess, shooter) and has integrated AI-driven features like TTS and 3D character lip-sync (SALSA + blend shapes) using guidance from tools like ChatGPT.”
Vengalarao Pachava
Junior AI Data Engineer specializing in Azure Databricks lakehouse and GenAI RAG systems
“Backend/applied AI engineer from Cloud Rack Systems who built production GenAI/RAG and data platforms on Azure/Databricks at enterprise scale (2.5M records/day). Known for making LLM systems behave like deterministic services via strict retrieval contracts, citation-based validation, and strong observability—shipping a knowledge assistant used daily by 50+ users while driving hallucinations near zero and materially improving latency and cost.”
Viktor Grigorev
Staff-level Unity Tech Lead specializing in multiplayer and rendering performance
“Unity/C# tech lead specializing in multiplayer systems and networking reliability: built a transaction/prediction-based multiplayer inventory system using snapshots/deltas that eliminated duping and supports very large item transfers via RPC. Also implemented an LLM-driven localization pipeline (SGLang on DGX Spark with Gemma Translate) with automatic OpenAI fallback and human QA, and has shipped VR work on Meta Quest 3 with cross-platform input abstraction (mobile/VR/web).”