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Vetted Express Professionals
Pre-screened and vetted.
Abhinav Malkoochi
Junior Full-Stack Engineer specializing in AI and automation
“Startup-focused builder who created and iterated an MVP for Enky, a two-sided marketplace connecting music artists and creators, informed by hundreds of customer interviews. Implemented CI/CD, monitoring (PostHog/Sentry), and a complex payout pipeline involving scraping social platforms and routing escrow payments via Stripe, and has a track record of quickly debugging production issues (e.g., iOS-specific OAuth cookie failures).”
Annie Suzan Edwin Arokiaraj Caroline
Junior Full-Stack Software Engineer specializing in distributed systems and data pipelines
“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”
Samee Rauf
Junior AI/Full-Stack Software Engineer specializing in ad automation and LLM systems
“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”
Ofek Shaltiel
Mid-Level Full-Stack Software Engineer specializing in AI-enabled web platforms
“Backend/AI engineer in construction tech (HyperWater AI) who delivered major production performance wins (analytics API from ~1 hour to 0.5s) and shipped LLM features for parsing subcontractor manifests into CSI divisions with human-in-the-loop review. Also built a freelance agentic document-verification system using OCR + RAG over pgvector with robust retry/escalation logic and user feedback loops.”
Benjamin Agyekum
Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications
“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”
Sanskar Pandey
Junior Full-Stack Java Developer specializing in FinTech microservices
“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”
Mohammad Savari
Senior Gameplay Programmer specializing in Unity systems and game development
“Gameplay engineer with hands-on ownership of core systems across both Unity/C# and UE5, including a full item/inventory/vendor pipeline and a server-authoritative co-op multiplayer architecture. Stands out for combining data-driven design, tooling, and disciplined validation workflows—including LLM-assisted content generation—to improve iteration speed and stability.”
Anuj More
Mid Full-Stack Engineer specializing in web platforms, geospatial apps, and AI
“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”
DileepReddy Battu
Mid-level Software Engineer specializing in backend, full-stack, and healthcare IT
“Software engineer with a pragmatic, production-oriented approach to AI-driven development, using AI to accelerate coding while keeping human oversight on correctness, architecture, and final decisions. Has hands-on experience with agent-style AI workflows and has led the design and coordination of AI-agent systems with a strong emphasis on reliability, performance, and end-to-end execution.”
Meghkumar Patel
Intern-level Software Engineer specializing in backend, cloud, and AI systems
“MS Software Engineering candidate at SJSU with hands-on full-stack and applied AI experience, including building DataTrust, a secure enterprise RAG assistant with ABAC-style access control, audit logging, and grounded-answer evaluation. Also built CareerPilot, an AI interview-prep product that turns LLM and speech-to-text outputs into structured, user-friendly feedback for students and job seekers.”
Ketul Kishorbhai Chhaya
Junior Backend Engineer specializing in AI and LLM platforms
“Fullstack product engineer with strong AI application experience, including a provider-agnostic LLM routing layer spanning Bedrock, OpenAI, and Hugging Face. They pair hands-on technical depth with product instincts, having shipped customer-facing chat and workflow features that reduced support tickets by 38% and cut approval processing time in half.”
Volodymyr Pisotskyi
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack engineer building production AI/RAG systems for benefits workflows, including a state-level deployment that introduced filestore-based evaluation and improved answer correctness by about 30%. Strong across Next.js, backend infrastructure, and AI evaluation tooling, with hands-on experience in LangChain/LangGraph, Langfuse, accessibility-minded UI work, and zero-to-one product leadership in fast-moving environments.”
Furqan Munir
Mid-level Full-Stack MERN Engineer specializing in AI-integrated web platforms
“Early-stage startup engineer who operated with little structure, worked directly with clients, and helped turn Deloitte and Informatica into permanent clients. More recently, they built an AI-enabled HVAC project bidding and estimation platform using FastAPI, LangChain, React, TypeScript, and PostgreSQL, including prompt tuning and UAT-driven improvements.”
SAUD SALEEM
Senior Python Engineer specializing in scalable backend and distributed systems
“Senior Software Engineer who has operated in a functional implementation capacity on B2B SaaS projects, especially identity verification and infrastructure intelligence platforms. Stands out for translating stakeholder and compliance requirements into APIs, workflow logic, data mappings, and UAT processes, with experience supporting utility-focused asset risk and maintenance decision platforms at scale.”
Viswanath Jagaluri
Mid-level Full-Stack & AI Engineer specializing in LLM applications
“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”
“Frontend-focused engineer (Shahroz) who has rebuilt and modernized products end-to-end, including a FitTech dashboard redesign from scratch with standardized tooling (ESLint/Prettier, Husky + conventional commits, unit tests, PR validation). Has delivered complex React + TypeScript dashboards involving real-time live streaming and analytics, and shipped an e-commerce PDP with integrations like Contentful and social feeds using an MVP-first, sprint-based process.”
Nishant Dalvi
Intern Full-Stack Engineer specializing in cloud-native web and real-time systems
“Software engineer/intern who built an EV charging station management platform from scratch (TypeScript/Next.js/Node/Express/Postgres) with real-time OCPP WebSocket operations and payment processing, iterating quickly based on operator feedback. Also created an internal CloudWatch log aggregation dashboard with Slack alerts that was adopted team-wide, addressing API rate limits and log-format inconsistencies through caching, pagination, and standardized parsing.”
Sadikur Rahman
Senior Full-Stack Developer specializing in Shopify e-commerce and Web3 integrations
“Frontend engineer with deep Shopify and React/TypeScript experience who has shipped real-time, high-concurrency products—most notably a live auction system on Shopify using pure JavaScript/Liquid with Pusher for instant bid updates. Also built a POS dashboard app with Redux Toolkit for real-time order/cart updates and delivered measurable storefront performance gains (~30–40% faster initial load) through modularization and asset optimization.”
Ashish Dnyaneshvar Parulekar
Mid-Level Software & Machine Learning Engineer specializing in cloud-native microservices and LLMs
“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”
Bhavana Polakala
Intern Data Scientist specializing in GenAI agents, RAG, and ML platforms
“LLM/agent systems builder who deployed a production hybrid router for immerso.ai that dynamically selects retrieval vs reasoning vs generative pathways, achieving an 82% factual-accuracy lift. Deep hands-on experience optimizing local Mistral 7B inference (4–5 bit GGUF quantization, KV-cache reuse) and building reliable RAG/agent workflows with LangChain/LangGraph/AutoGen across GCP Cloud Run and AWS (ECS/Lambda).”
Doondi Ashlesh Tammineedi
Junior Full-Stack Software Engineer specializing in cloud-native web apps and AI tooling
“Software engineer with experience across edtech, live gaming, and an AI document intelligence platform, delivering end-to-end customer-facing features and production backends. Built secure, automated live-session scheduling integrating Zoom and TalentLMS (JWT/RBAC, idempotency, transactions) cutting setup time from ~3 minutes to under 1 minute, and optimized real-time gaming dashboards/APIs with query tuning, caching, and CDN improvements (~60% latency reduction under peak load) on AWS.”
Dinal Dholiya
Mid-level Full-Stack Engineer specializing in AI-powered and cloud-native systems
“Product-minded engineer who has owned features end-to-end, including a full onboarding redesign that lifted completion ~25% and a production LLM/RAG report-generation system with strong guardrails (schema-constrained JSON, confidence gating, logging) and an automated eval/regression loop built from real user queries. Also built a scalable research data pipeline ingesting messy PDFs/JSON/CSVs with normalization, idempotent reruns, observability, and cost/latency tradeoffs.”
Kevan Mehta
Junior Backend/Cloud Software Engineer specializing in microservices and cost-optimized AWS systems
“Built a production anomaly-detection workflow at VDOIT for messy cloud billing/cost data, emphasizing validation, idempotency, retries, and monitoring. Delivered measurable impact by preventing ~$50K/month in overspend and improving response time, and is now applying the same multi-step pipeline approach to LLM-based agent workflows.”
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.”