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Vetted Software Engineers
Pre-screened and vetted.
Tejaswi devarapalli
Junior Software Engineer specializing in backend systems and AI infrastructure
“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”
Amman Abua
Senior Software Engineer specializing in cloud-native and AI-powered platforms
“Fullstack engineer with a strong serverless/AWS and applied AI profile, having built document-upload-to-RAG chatbot systems using Bedrock/Titan as well as a production fintech reporting platform. Particularly compelling for teams needing a zero-to-one builder who can own architecture, frontend, backend, and user-informed product delivery; one recent product reached 100+ student users within 48 hours of launch.”
Ahmed Sohail
Mid-level Full-Stack Engineer specializing in scalable web applications
“Frontend-leaning full-stack engineer with hands-on experience building React/TypeScript applications backed by Node.js and GraphQL services. They highlighted a quiz-game product with complex frontend synchronization and an e-commerce optimization effort that raised homepage performance to roughly 90% in Lighthouse, while also creating reusable components and shared services to improve team velocity.”
Gene Ruan
Junior Computer Engineer specializing in machine learning and computer vision
“Software engineer with hands-on hardware/software crossover work: led an EMG circuit project using PSpice simulation and MATLAB-based data processing. Also contributed to an agriculture research computer-vision effort (hens/eggs tracking), building a PyTorch inference program and boosting model accuracy by ~10–20%, plus limited ROS 2 Humble exposure on an autonomous EV model with LiDAR/camera detection.”
Mohit Soni
Mid-level Frontend Engineer specializing in React applications
“Frontend engineer who led end-to-end delivery of an HR Service Desk (HRSD) module used daily by HR teams, setting a modular React architecture with standardized data access and shared component libraries. Focused on scaling and performance (lazy loading, memoization, pagination, normalized state) and enforced quality via unit testing, strict code reviews, ESLint, and TypeScript.”
Talha Timur
Entry-level Backend Software Engineer specializing in FinTech
“Backend-focused full-stack engineer with strong React/TypeScript depth who has owned end-to-end features spanning PostgreSQL, .NET 8 APIs, real-time React dashboards, and production monitoring. Notably built a geofencing tracking module for construction SaaS and a 0→1 secure LAN file transfer engine, combining security-first architecture with measurable outcomes like 40% lower battery usage and zero security breaches in pilot.”
Maria Indacochea
Junior Full-Stack Software Engineer specializing in accessible front-end development
“Front-end-focused software engineer from Edutrak who helped build a unified browser-based user services platform by consolidating multiple legacy products into a scalable Vue/TypeScript architecture. Stands out for hands-on legacy modernization work, including cleaning up large inherited codebases, standardizing frontend structure, and improving navigation and usability across education-related services.”
David Nguyen
Junior Full-Stack Software Engineer specializing in React/Next.js and Python/FastAPI
“Early engineering hire at The Coaching Market (B2B2C e-learning startup) who owned re-engineering core REST APIs (FastAPI) and shipping an enhanced Next.js UI, plus automating most deployments via CircleCI/Vercel. Strong in data-driven iteration (surveys/Jira/Slack + Google Analytics, A/B tests) and reliability/performance improvements with measurable impact (30% less downtime, 40% faster releases, 25% faster loads).”
Keegan Bond
Junior Full-Stack Software Engineer specializing in React, Node.js, and real-time collaboration
“Frontend-focused engineer and former frontend team lead who built a React product from zero-to-MVP (including complex UI like tables and chat) and implemented scalable architecture, shared typing, and UI quality workflows (Storybook/Chromatic). Also built a React+TypeScript internal dashboard for sales/marketing with filtering/search, and has experience collaborating with designers in Figma while iterating quickly in a startup environment.”
Kolby Kalafut
Senior Full-Stack Engineer specializing in e-commerce and operations platforms
“Sole software engineer for an ecommerce operation who ships and operates full-stack products end-to-end. Built a production AI voice agent integrated with Shopify and internal systems that now handles 4,000+ customer calls/month, plus a branded mobile app credited with $4M+ in sales and a self-serve returns/warehouse platform with strong React/TS UX and robust AWS operations.”
Collin Brennan
Entry Software Engineer specializing in full-stack web development and AI search
“Frontend-leaning full-stack product engineer who recently migrated their team's frontend to TypeScript and built a cross-system Mentions feature integrating Gmail and other external apps. Strong on practical React architecture, performance debugging, and shipping fast with thoughtful tradeoffs around caching, API limits, and real-time UX.”
Rutu Ketankumar Shah
Mid-level Software Engineer specializing in AI automation and backend systems
“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”
Megha Paul
Mid-level Full-Stack Engineer specializing in AI and web platforms
“Software engineer actively using AI-first development workflows, including Cursor, prompt engineering, and multi-agent setups, to dramatically compress development time. Most notably, they say they built a Regression Optimizer product end-to-end from scratch and used multi-agent approaches to improve troubleshooting and response quality.”
Khaled Waleed
Entry-level Software Engineer specializing in backend systems and real-time streaming
“Software engineer using AI heavily in day-to-day development, especially for cross-platform packaging and Bash-heavy workflows. Built a feature to package a Node.js app into Windows and Linux installers/executables, and has hands-on experience validating LLM-generated database reporting through prompt evals and code review.”
Muhammad Midhat
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”
Zain Hussain
Senior Full-Stack (MERN) Engineer specializing in web applications
“Frontend engineer who led an employee management system end-to-end, focusing on scalable architecture and performance (caching, route/component-level code splitting, lazy loading, dynamic imports). Experienced building React + TypeScript dashboards with Tailwind CSS and Zustand, including centralized global UI state for modals/sidebars/preferences and feature-flagged rollouts with rapid QA/iteration.”
ABHIGNAN YANGANGARI
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Full-stack engineer who built a lost-and-found pet management platform (React + Node/Express + SQL) with a focus on scalability (stateless JWT auth, modular REST APIs, cloud-based image handling) and performance (Artillery load testing, Chrome DevTools, query/index tuning). Also demonstrates systems-thinking around low-latency real-time voice pipelines integrating WebSockets, ASR, LLMs, and audio output, and has experience translating founder input into shippable product via rapid prototyping.”
Nechar KC
Entry-level AI Engineer specializing in full-stack LLM applications
“Built an AI-powered lecture-to-notes web app from personal pain at university, combining Spring Boot, React, PostgreSQL, and Python AI services for transcription and summarization. Also led architecture for FishBowl, a multi-agent Shark Tank-style pitch practice tool using GPT-4o, Perplexity, and ElevenLabs that won 1st place in the AI & Entrepreneurship track at HackHayward.”
AHSAN GHAFOOR
Mid-level Full-Stack Engineer specializing in AI/RAG and scalable web platforms
“Frontend-focused React/TypeScript candidate who has built production features for an event management platform and a map-based drone request workflow. Stands out for practical performance work on image-heavy galleries, TanStack Query-based data handling, and Google Maps integrations with debounced search and async loading safeguards.”
Khubaib Chohan
Mid-level Software Engineer specializing in React and Next.js web applications
“Front-end/product-minded developer who built and continues to improve PAVBLOCK.com, a two-sided handyman services marketplace PWA with role-based flows, ZIP code matching, payments, and reviews. Stands out for combining hands-on React/TypeScript web app development with 3 years of business development experience, giving them a stronger client and user-needs perspective.”
Svitlana Koval
Mid-Level Software Engineer specializing in desktop applications and legacy modernization
“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”
Hanamanth Gollar
Mid-level Python Backend Developer specializing in ERP (Odoo) integrations and APIs
“Backend ERP developer specializing in Odoo (Python MVC) with hands-on experience integrating ERP workflows with external SQL databases and handling cloud deployment compatibility issues. Led a migration of ~40 years of legacy data into a modern ERP using scripted transforms and unique identifiers to preserve data integrity, and has experience implementing role-based permissions and preventing failure modes in SQL status update flows.”
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”