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Vetted React Professionals
Pre-screened and vetted.
Pranav Mishra
Junior Machine Learning Engineer specializing in LLM agents, RAG, and MLOps
“AI/ML engineer who has shipped production systems across computer vision and conversational agents: built a YOLOv8-based wheel fitment pipeline at a Techstars-backed automotive startup, focusing on sub-second latency, monitoring, and robust fallback mechanisms that drove 2–3x page view growth and +5–6k users. Also built a voice-based interview platform orchestrating Deepgram + GPT-4 Mini + OpenAI TTS with FSM-driven reliability, and has hands-on RAG experience (LangChain, hybrid retrieval, cross-encoder reranking, custom pseudo-query generation).”
Varun Mahankali
Junior Full-Stack Software Engineer specializing in React, Node.js, AWS, and Generative AI
“Built and production-deployed a Streamlit-based PDF RAG chatbot using LangChain (FAISS, embeddings, prompt templates) and OpenAI, optimizing Streamlit’s stateless behavior by caching vector DB + chat history to cut latency and API cost. Demonstrates a rigorous evaluation mindset (gold datasets, unit tests, LLM-as-judge, groundedness KPIs) and has experience communicating privacy/accuracy safeguards (RBAC, data masking, citations) to a non-technical client at Kalven Technologies.”
Uzair Asif
Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features
“Frontend lead for a consumer-facing social platform, owning architecture through release. Built scalable React/TypeScript systems (Redux Toolkit, Remix) with a shared Storybook component library and strong quality gates (CI, Jest/Cypress). Experienced modernizing legacy codebases incrementally with feature flags and shipping major dashboard features with staged rollouts and close QA collaboration.”
Umair Azam
Senior Full-Stack Software Engineer specializing in Ruby on Rails and React
“Frontend engineer with React/TypeScript experience who has led end-to-end UI work on a fintech product (React frontend with NestJS APIs), emphasizing performance (virtualized rendering, memoization, lazy loading, profiling) and quality at scale (unit tests and TDD). Also built and iterated on a snooker sports app, simplifying UX through audience-focused design decisions and streamlined onboarding.”
Rethvick Sriram Yugendra Babu
Junior AI/ML Software Engineer specializing in Generative AI and scalable data pipelines
“Built and operated large-scale biodiversity/ecological research platforms, integrating 50+ heterogeneous global datasets into a unified BIEN 3 schema on PostgreSQL/PostGIS and improving data consistency by 35%. Strong production engineering background (Linux monitoring, CI/CD performance gates, Docker on AWS/Azure) plus applied AI work building a Python RAG system (0.90 precision) and halving latency with Elasticsearch.”
Binaya Sharma
Senior Software Engineer specializing in full-stack systems, big data, and applied AI
“Built and deployed ForensicLLM, a local domain-specific LLaMA-3.1-8B model for digital forensic investigators using RAFT + RAG over 1000+ curated research papers, with citation-aware responses and rigorous evaluation (BERTScore/G-Eval). Deployed via vLLM and Docker and validated through a chatbot survey with 80+ participants; published at DFRWS EU 2025.”
Taruni Reddy Ampojwala
Mid-level GenAI Engineer specializing in LLM agents and RAG systems
“Built and deployed a production RAG-based LLM assistant that answers day-to-day operational questions from internal PDFs/SOPs, with strong emphasis on data consistency (metadata versioning, confidence thresholds, conflict handling) and low-latency retrieval at scale. Experienced designing and orchestrating multi-agent LLM workflows (retrieval/validation/generation) and pipeline orchestration for ingestion/embedding/vector-store updates, plus iterative delivery with non-technical operations/business stakeholders.”
MANOGNA VADLAMUDI
Junior AI Engineer specializing in LLM evaluation, prompt engineering, and AI orchestration
“LLM workflow builder who has deployed a personalized GPT experience (including Delphi AI-based knowledge ingestion) and built a LangChain/LangGraph job-aggregation pipeline that ingests, normalizes/dedupes, filters, then uses an LLM to rank and summarize matches. Emphasizes production reliability with structured outputs, retries/fallbacks, metric-driven evaluation, logging/prompt versioning, and A/B testing, and collaborates with non-technical stakeholders through demo-driven iteration.”
Zachary Ringwood
Junior Full-Stack Developer specializing in React Native and Java/Spring
“Frontend engineer who created an in-house React-like framework (“React-Wilcox”) enabling modern, event-driven UI components on extremely legacy browsers (as far back as 2002), including race-condition avoidance via batched state updates. Also does freelance work untangling AI/vibe-coded frontends for nontechnical founders, componentizing UIs and fixing routing/readability, and recently built a React+TS social app for martial artists with privacy-preserving location distance features.”
Yashwant Gandham
Junior Machine Learning & Backend Engineer specializing in LLM systems and ML infrastructure
“Built and deployed production RAG-based document search/Q&A systems (DocChat and an internship marketing RAG), using a React + FastAPI stack on GCP with docs stored in GCP buckets and retrieval via embeddings/vector DB. Emphasizes cost/performance tradeoffs (reported ~40% cost reduction) and ships via Docker (Railway), with load/API testing using JMeter and Swagger; regularly collaborates with a CEO stakeholder to iterate and push changes to production.”
William Watanabe
Mid-level Full-Stack Software Engineer specializing in authentication and SolidJS/TypeScript
“Mid-level full-stack engineer (Los Angeles) who built and shipped an end-to-end authentication system for SolidAuth, an open-source SolidStart ecosystem library published to NPM with 1000+ downloads. Experienced designing React/TypeScript + Node + Postgres architectures, operating lightweight production systems on AWS (EC2/S3/RDS/IAM/CloudWatch), and building resilient third-party ingestion/integration flows with idempotency, retries, queues, and backfills; also worked in an early-stage NIL startup (OFFSZN) shipping core onboarding/profile features amid changing requirements.”
Avanishika Revelli
Junior Software Engineer specializing in backend, cloud, and robotics automation
“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”
Peter Ciccone
Mid-Level Software Developer specializing in .NET web applications on Azure
“Full-stack developer who built an end-to-end billing/allocation/payment and reporting system used daily by a major film-industry union, including queuing-based check assignment, admin auditing, data cleanup tools, and an external reports portal. Also delivered a factory production scheduling/analytics app for a lock manufacturer, and typically implements APIs in C#/.NET with DTO shaping and pub/sub messaging for microservices consistency.”
Ram Abhinav Vedant Madabushi
Junior Full-Stack/AI Engineer specializing in web platforms and LLM applications
“Backend engineer from FoodSupply.ai who built and evolved a scalable restaurant/supplier product and order management platform using Node.js and REST APIs. Implemented a hybrid MySQL+MongoDB data architecture, optimized performance with Redis/Prisma, and led a phased migration with feature flags and a temporary sync layer to maintain data consistency. Strong focus on production security (OAuth2, RBAC, row-level security, AWS IAM) and reliability practices (testing with Pytest, Docker/AWS pipelines).”
sampath achalla
Mid-Level Software Engineer specializing in backend and full-stack web applications
“Backend engineer focused on scalable, secure, observable systems—built an async workflow backend with REST APIs and state persistence that improved reliability under concurrent load and cut end-to-end processing time ~40%. Strong in production security for multi-tenant systems (OAuth2/JWT, RBAC, DB row-level security) and in low-risk migrations using feature flags and canary releases, including catching and preventing cross-tenant data access issues with CI-based RLS tests.”
Victoria Magaziner
Senior QA Automation Engineer specializing in end-to-end test automation for FinTech and automotive platforms
“QA Engineer with 8 years owning end-to-end quality on high-traffic, live fintech and automotive platforms (Fuse Autotech), specializing in critical financial and e-signing workflows. Combines API testing (Postman), log observability (Kibana/Logz.io), and disciplined Jira/Xray processes to accelerate triage and shorten release cycles (1 week to 3 days) while reducing production issues and integration/regression defects with measurable impact.”
Merub SHAIKH
Junior Software Engineer specializing in full-stack web development and test automation
“Full-stack engineer who built and owned a production workflow/kanban-style drag-and-drop system in Next.js (App Router) with Postgres/Prisma, including reusable component abstractions, Cypress E2E coverage, and post-launch performance/bug ownership. Notable for measurable impact (25% faster UI dev, ~30% query perf improvement) and for leading an incremental Express→NestJS migration that reduced technical debt (~40%) through better structure, docs, and team enablement.”
Mayank VYAS
Mid-level AI/ML Engineer specializing in LLM agents, RAG retrieval, and IoT ML systems
“Built production LLM-driven products including a job-hunt AI (job ranking + resume optimization) and an InterviewAI agentic pipeline using LangChain. Focused on practical deployment concerns like securing OpenAI usage via rate limiting and tiered quotas, and demonstrates an applied approach to choosing models, retrieval methods (RAG), and prompting strategies.”
Srikar Tharala
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”
Craig Smith
Senior Software Engineer specializing in VR/AR training and immersive learning
“Unity developer who built a distinctive "truth-seeing" gameplay mechanic that shifts the world to monochrome while selectively revealing hidden/deceptive objects, using an overlay camera and draw-order fixes to meet tricky rendering constraints. Also has Photon PUN experience delivering a synchronized mixed-reality tabletop construction visualization where a host controls shared model transforms, layer toggles, and can transfer host control.”
Atharva Chavan
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
FNU ASHUTOSH
Mid-level Software Engineer specializing in AI, full-stack systems, and FinTech
“Product-minded full-stack engineer with experience in fintech identity verification and industrial analytics, focused on turning repeated operational pain points into reusable platforms. Built real-time KYC/KYB dashboards, secure cross-platform web components, and a multi-tenant workflow engine that cut onboarding from 2 weeks to 1 day while materially improving conversion, reliability, and developer speed.”
Rohan Halder
Entry-level Account Executive with sales experience in SaaS and retail
“Sales candidate with SDR-to-AE progression who combines very high outbound activity levels (roughly 500 emails and 200+ calls per day) with consultative demos and objection handling. Reported generating about $197.98K in pipeline and uses a practical, data-informed approach to building pipeline from scratch by leveraging existing customer relationships, referrals, and vertical engagement signals.”
Atharva Bibave
Entry-level Full-Stack Software Engineer specializing in backend, cloud, and AI systems
“Software engineer with hands-on experience across platform modernization, production AI agents, and workflow automation. They led a monolith-to-microservices migration that increased deployment speed from weekly to daily, built a self-healing GPT-powered browser agent with an 85% autonomous recovery rate, and founded/ran ZapDash, where they hardened Kafka-based integrations against silent data loss.”