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Vetted REST API Professionals
Pre-screened and vetted.
Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
“Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.”
Tina Nguyen
Mid-Level Software Engineer specializing in iOS and full-stack development
“Cross-platform (web + mobile) product engineer working on coupon clipping experiences. Built and shipped category-based filtering informed by external market data (Rakuten/Honey) and internal user-journey analytics, validated via A/B testing and resulting in a 30% traffic lift. Experienced handling on-call production incidents, including rapid root-cause analysis and hotfixing a mobile crash that was blocking a release.”
vineetha Pulipati
Mid-level Software Engineer specializing in backend microservices and cloud data pipelines
“Backend engineer with Morgan Stanley experience building and owning an end-to-end Python FastAPI microservice for high-volume market data used by trading and risk systems. Strong in performance tuning and reliability (PySpark, Redis caching, async APIs), real-time streaming with Kafka, and production operations (Docker/Kubernetes, GitOps-style CI/CD, monitoring). Has led cloud/on-prem migration work across AWS and Azure, including fixing Azure Synapse performance issues via query and pipeline redesign.”
Sharanya Rao
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for finance and healthcare
“Built an AI lending assistant (RAG + DeBERTa) used by credit analysts to retrieve policies and past loan decisions, tackling real production issues like hallucinations, document quality, and sub-second latency. Deployed a modular, Dockerized AWS architecture (ECS/EMR + load balancer) with load testing, caching/precomputed embeddings, and CloudWatch monitoring, and used Airflow to automate scheduled data/embedding/vector DB refresh pipelines with retries and alerts.”
Abhishek Saraswat
Mid-level Software Engineer specializing in Java backend microservices
“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”
Aishwarya Yenumula
Mid-level Full-Stack Java Engineer specializing in microservices, React, and Azure
“Full-stack engineer with hands-on ownership of a real-time loyalty rewards notification system at Dell, spanning React UI, Spring Boot/Node microservices, Kafka event processing, and Oracle/Postgres persistence. Strong production operations experience across AKS/Azure DevOps and AWS (EC2/RDS/S3, autoscaling, CloudWatch), including resolving peak-load Kafka lag and API latency incidents through scaling and performance tuning.”
Venkat Palaparthi
Senior Software Engineer specializing in cloud-native microservices and secure enterprise platforms
“Full-stack engineer with strong production ownership in banking/identity & entitlements systems, building Spring Boot + Postgres/Redis services and React dashboards, then deploying on AWS EKS with Jenkins CI/CD. Demonstrated impact through reduced authorization latency and fewer access-related support tickets, plus strong observability and reliability practices (CloudWatch, tracing, autoscaling, Kafka pipelines with DLQs and reconciliation).”
Pravalika Badam
Mid-level QA/SDET Automation Tester specializing in UI, API, mobile, and cloud testing
“SDET focused on end-to-end quality for web applications, owning UI/API/regression automation from framework design through CI/CD integration. Notably prevented a production payment/checkout incident by adding API validations that caught incorrect tax calculations (rounding logic) during CI before release, and has a track record of stabilizing flaky Cypress tests via robust selector and wait strategies.”
sudha kumari
Senior Full-Stack Product Engineer specializing in Next.js, TypeScript, and distributed systems
“Full-stack engineer who built and shipped an analytics dashboard for search visibility using Next.js App Router/TypeScript with a server-components-first data strategy and server actions for interactivity. Designed and optimized the underlying Postgres analytics model and queries at scale, and implemented a durable Temporal-based indexing workflow with retries and idempotency—plus delivered a major frontend performance jump (Lighthouse low 70s to mid-90s).”
srilekha pothula
Mid-level Data Engineer specializing in cloud data pipelines for healthcare and financial services
“Data engineer with ~4 years of experience (Cigna) building and operating Azure Data Factory pipelines for healthcare claims/member/provider data at 2–3M records/day. Emphasizes reliability and downstream safety via schema/data-quality validation, quarantine workflows, idempotent processing, and backfills; also improved runtime ~20% through SQL optimization and served curated datasets through versioned views and well-documented, analyst-friendly interfaces.”
Divya T
Mid-Level Software Engineer specializing in cloud microservices and data processing
“Data-focused engineer who has built near real-time trending news sentiment pipelines end-to-end (API/web ingestion, validation, transformations, and dashboard serving) and implemented reliability patterns like retries with exponential backoff and backfills. Also shipped Java/Spring Boot REST APIs backed by SQL with indexing/pagination, and stood up an early-stage QR-based attendance MVP using Firebase with iterative hardening via logging and validation.”
Jacob Allyn
Senior Physics & Gameplay Engineer specializing in Unity vehicle and multiplayer systems
“Unity/C# engineer who led and shipped a backend-driven mobile AR platform (4D VIEWR) using Vuforia, enabling dynamic content delivery without app updates and focusing heavily on stability under real-world tracking/connectivity constraints. Also shipped authoritative-server multiplayer matchmaking/gameplay flow for NBA 2K vehicle modes, including server-side anti-cheat validation and live issue instrumentation. Recently built a self-hosted multi-agent LLM pipeline to accelerate game-dev workflows with strong reliability and cost/latency controls.”
Ajay Kancheti
Mid-level Full-Stack Engineer specializing in SaaS and FinTech
“Product-minded full-stack engineer focused on internal operations tooling, with hands-on ownership across React/TypeScript, serverless APIs, and Postgres. They combine UX simplification with deep performance and reliability work, citing a transaction-exception workflow redesign that cut task completion time by roughly 25%, and they’ve also built multi-tenant configurable systems with strong guardrails.”
Vinay Sanagapalli
Mid-level AI Engineer specializing in LLM agents and RAG systems
“AI/ML engineer at MRI Software focused on taking LLM and RAG systems from prototype to reliable production. Notable work includes an AI automation system for migrating 1200+ legacy pages with 75-80% manual effort reduction, plus enterprise document-querying and reusable Python LLM infrastructure that cut lookup time by 70% and improved team velocity by 30-40%.”
Madina Nasriddinova
Junior Full-Stack Software Engineer specializing in AI-powered developer tools
“Automation-focused engineer with hands-on experience building production Python integrations, maintaining 60+ Jenkins pipelines across six product lines, and hardening CI systems in real-world environments. Most notably, they turned a tribal-knowledge Windows server maintenance process into a production workflow across nine servers, saving about 500 engineering hours annually.”
Devang Borkar
Mid-level AI Engineer specializing in LLM agents and evaluation systems
“Built an end-to-end Python integration for an emotion-aware presentation feedback system that processed uploaded or live video and analyzed facial emotion, tone, and gestures. Also has Playwright automation experience in a loan management workflow, with emphasis on reliability, observability, security, and iterative delivery under ambiguous requirements.”
Hari Banchode
Senior Software Engineer specializing in microservices and FinTech/e-commerce platforms
“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”
Pratik Patil
Senior Frontend Engineer specializing in React and FinTech SaaS
“Senior engineer at BDI Plus who is already using AI coding tools as a core part of daily development, with hands-on experience building enterprise LLM products such as ChatCDP AI for Morgan Stanley analysts. Particularly strong at making AI systems trustworthy and usable through auditable outputs, streaming UX, and resilient state-machine-driven error handling.”
Raghvesh Prasad
Senior Full-Stack Engineer specializing in AI, backend systems, and supply chain platforms
“Full-stack engineer with hands-on experience spanning React/TypeScript frontends, Cloudflare serverless RAG systems, SQL-heavy backend redesigns, and computer vision workflows. He has shipped practical automation and reliability improvements with measurable impact, including cutting a video-validation reporting process from a week to 2 days and fixing a memory-heavy shipment system before Black Friday to support 30K+ orders successfully.”
“DevOps- and infrastructure-focused engineer who is already applying AI in practical delivery workflows, including Terraform, CI/CD, Kubernetes, and multi-agent automation. Stands out for combining AI-driven productivity with disciplined validation through testing, code review, and security checks, and for leading cross-functional AI integration across development, QA, and infrastructure.”
Aryan Aher
Entry-level Software Engineer specializing in full-stack and cloud systems
“Built an itinerary-planning startup MVP (LessGO) using React/TypeScript and a Node/Express backend integrating Google Maps and Gemini AI. Notably optimized Gemini latency from ~40 seconds to ~3 seconds through frontend caching, debugging, and model selection, and has TA experience supporting others with deployments and database connectivity.”
Aswin Jojo
Junior Software Engineer specializing in full-stack development and machine learning
“Full-stack engineer with experience owning products end-to-end in both insurtech/financial workflows and AI-enabled IT operations. Built scalable React/Node and FastAPI systems, improved reliability under peak transaction load with SQS/Redis, and shipped an AI ticket-classification platform that cut response times from 3 days to 1 day.”
Yogita Adari
Mid-level AI Engineer specializing in generative and multimodal systems
“Built and productionized an agentic LLM automation system for an insurance client to determine medication eligibility, using prompt-chaining plus a RAG pipeline over policy rules and deploying on AWS (Lambda/Step Functions, Bedrock) with a serverless architecture. Addressed major data/schema mismatch issues via a semantic matching pipeline and validated performance through human agreement scoring, A/B testing, KPI monitoring, and confidence-based human-in-the-loop review.”