.png){kind=logo}
Vetted JWT Professionals
Pre-screened and vetted.
Shashank Nawathe
Senior Front-End Engineer specializing in React, micro frontends, and GraphQL
“Frontend engineer with Walmart Labs experience who contributed to the React Query (TanStack) open-source ecosystem by reproducing and helping fix a tricky cache invalidation edge case via a detailed GitHub issue and merged PR. Led measurable runtime performance improvements on a large B2B dashboard (D3.js), using memoization, component refactors, web workers, and virtualization to cut render time ~60% and eliminate UI freezes, and standardized data-fetching patterns to reduce data-related bugs ~30%.”
Shruthi Nandakumar
Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices
“Backend/AI engineer who owned a high-scale Java/Spring Boot microservice for a financial application (millions of requests/day) and led major reliability/performance fixes (including ORM/query and PostgreSQL tuning) achieving ~60% latency reduction. Also shipped application-layer LLM features for ops teams (summarization + tool-calling) with strong guardrails (PII redaction, validation, audit/feedback) and designed a state-driven agent workflow with retries, circuit breakers, and human escalation.”
Keerthi Kalluri
Senior Full-Stack & GenAI Engineer specializing in healthcare and financial services
“Built and deployed a production LLM-powered customer support assistant using a RAG backend in Python, focused on deflecting repetitive Tier-1 tickets and reducing resolution time. Demonstrates strong production engineering instincts around reliability (confidence scoring + human fallback), scalability/cost optimization (multi-stage pipelines), and workflow orchestration/observability (LangChain, custom DAGs, structured logging, step metrics).”
Alex Johnson
Mid-Level Full-Stack Software Engineer specializing in observability and developer tools
“Product-leaning full-stack engineer (65% product / 35% infra) who built core components of the LightFoot feature flag platform: end-to-end client/server SDKs with OpenTelemetry-based observability and a React+TypeScript UI for flag management and metrics dashboards. Strong focus on performance (memoization/lazy loading/caching), reliable API design, and Postgres modeling for read-heavy flag evaluation workloads, with AWS production experience (EC2/ECS/Lambda/API Gateway/VPC).”
Akhilesh Babu Tumati
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-integrated systems
“Built and deployed a Virginia Tech CS department blog/archive application using a MERN/Next.js stack and a fully serverless AWS architecture (Lambda, API Gateway, S3, CloudFront, Route 53), including CI/CD via the Serverless Framework. Implemented RBAC for student/faculty/admin users and added an article export feature backed by MongoDB.”
Karan Javali
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native web platforms
“Software engineer with experience at Goldman Sachs and Arizona State University’s Learning Engineering Institute, shipping production backend systems including a vendor equities invoice-generation service designed for extensibility across multiple vendors. Built Django REST + PostgreSQL backends with JWT auth and Pytest coverage, and delivered data-heavy, responsive Angular dashboards; also has exposure to AWS EC2 deployments and GitLab CI/CD automation.”
Nikhitha santhoshi Maroju
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices on AWS
“Built and shipped a production LLM-powered fraud investigation agent using RAG to generate transaction explanations and draft analyst reports. Emphasizes production robustness (fallbacks, strict structured outputs, async orchestration, monitoring/evals) and reports measurable impact: ~12% precision lift and ~80 high-priority alerts per week with reduced manual effort.”
Yuchen Wang
Intern Software Engineer specializing in full-stack development and AI/ML
“Built and maintains an AI Finance Tracker end-to-end as a solo full-stack product owner, from Figma designs and React frontend to Flask APIs, Firestore, auth, deployment, and AI insights. Stands out for combining product instinct with pragmatic engineering decisions like pre-aggregating financial data to control LLM costs and adding OCR receipt scanning based on real user feedback.”
Rami Jaloudi
Senior Applications Engineer specializing in legal technology and eDiscovery
“Early-stage founder candidate exploring an AI-enabled legal tech startup focused on document intelligence, secure workflows, and enterprise automation. Brings a rare blend of technical architecture fluency and product/business thinking, with clear firsthand insight into legal and document-heavy operational pain points.”
Arbaaz Meghani
Senior Machine Learning Engineer specializing in conversational AI and healthcare ML
“ML/AI engineer focused on taking LLM products from experiment to production, with hands-on ownership of a RAG-based customer support system that improved response quality by 35% and cut latency by 30%. Stands out for combining product impact with production rigor across retrieval tuning, safety guardrails, monitoring, and reusable Python/FastAPI services that accelerated adoption across teams.”
Sai Sreenath Kalva
Mid-level Full-Stack Software Engineer specializing in AI and Healthcare IT
“Full-stack engineer with strong AI architecture experience in regulated healthcare environments, including a HIPAA-compliant conversational reporting assistant for LA County Department of Public Health and clinical workflow features for Oracle Health/Cerner PowerChart. Stands out for combining LLM/RAG system design, healthcare compliance, and production-grade reliability practices across Azure, AWS, and Kubernetes.”
Satyanarayana Torati
Mid-level Software Engineer specializing in backend, full-stack, and GenAI for FinTech
“Software engineer with 4 years of experience spanning scalable backend systems, full-stack product development, and production LLM integrations in finance, insurance, and e-commerce contexts. They describe shipping an AI-powered internal financial analysis tool, improving document-review workflows by 40%, and driving a zero-to-one B2B SaaS subscription launch with cross-functional GTM alignment.”
Rishikesh Vepura
Mid-level Software Engineer specializing in backend, cloud, and full-stack systems
“Full-stack engineer at an early-stage startup with hands-on production experience spanning Angular frontend features, backend safety checks for an image-generation workflow (OpenAI Safety), and AWS operations. Built CI/CD to ECS with GitHub Actions, implemented CloudWatch observability, and improved release reliability via Blue/Green deployments with automatic rollback.”
Yashwanth Reddy
Mid-Level Software Engineer specializing in backend microservices and cloud platforms
“Backend engineer in healthcare data systems who has owned production pipelines end-to-end, from ingesting patient and claims data to serving it through secure APIs. Brings a strong mix of Python, SQL, microservices, cloud deployment, and data reliability practices, with measurable performance gains and experience building resilient integrations with external data sources.”
VINAY KUMAR VIPPALA
Mid-level Software Engineer specializing in FinTech backend systems
“Full-stack product engineer with hands-on ownership from React UI through Spring Boot APIs and SQL data layers, focused on transaction-heavy fintech workflows. Built both a transaction reconciliation system and a 0-to-1 AI-based anomaly detection workflow at LeisurePay, combining performance-minded frontend engineering with pragmatic product delivery.”
Apoorva Swaminathan Iyer
Mid-level Software Developer specializing in full-stack engineering and application security
“Developer who has evolved into an AI-native builder, using Claude, Copilot, Cursor, and multi-agent workflows as collaborators while retaining ownership of architecture and code quality. At OpenPRA, they ramped quickly into NestJS from a Spring Boot background and implemented OAuth/JWT security; on the Aha quiz app, they effectively acted as a tech lead for AI agents across feature delivery, debugging, CI/CD, and Dockerization.”
Caleb Su
Entry-level Software Engineer specializing in full-stack web and backend systems
“Full-stack software engineer who has owned production workflows spanning React/Next.js, FastAPI, Redis-backed async processing, and PostgreSQL in a multi-tenant invoice-processing product. Shows strong product instincts as well—improving UX for long-running operations, iterating MVPs based on real user behavior, and balancing reusable abstractions with practical implementation constraints.”
JawaharSai Nathani
Mid-level Software Engineer specializing in AI backend and LLM systems
“Founding engineer at an edtech startup who combines hands-on engineering leadership with advanced AI-native development workflows. They’ve built an AI grading pipeline and a multi-agent SDLC tool, and stand out for treating AI agents like an engineering team with planning, parallel execution, QA, and rigorous validation.”
Akshay Potta
Mid-level Software Engineer specializing in distributed systems for FinTech and Healthcare
“Full-stack engineer focused on fintech risk and fraud products, with hands-on experience building React/TypeScript dashboards and Spring Boot microservices backed by PostgreSQL, Redis, and AWS. Has also contributed to AI-driven fraud detection workflows using AWS Bedrock, with a strong emphasis on production reliability, analyst usability, and measurable quality metrics.”
Sabina Ghimire
Senior Full-Stack Engineer specializing in FinTech and AI/ML platforms
“Growth-stage startup engineer with strong end-to-end ownership across React, Java/Spring Boot, MySQL, and cloud deployment. They led workflow automation products that replaced manual operational processes, improved efficiency and reliability, and evolved the platform into a more configurable B2B workflow system shaped by user feedback.”
Rishabh Goyal
Mid-level Software Engineer specializing in backend microservices and FinTech
“Python backend engineer focused on real-time e-commerce analytics systems, building FastAPI + Kafka microservices with strong idempotent processing patterns (Postgres upserts, manual offsets, Redis caching). Has hands-on Kubernetes (EKS) and GitOps delivery with Argo CD/GitHub Actions, plus experience migrating containerized services from on-prem VMs to AWS using Terraform and blue-green cutovers.”
SRI KATHYAYINI DAIVALA
Mid-level Software Engineer specializing in cloud-native backend systems
“Backend-focused engineer with production experience across finance and healthcare, currently building real-time payment microservices at JPMorgan Chase handling 3M+ transactions daily and 100k TPS peak. Stands out for combining high-scale distributed systems design, measurable database and ETL performance wins, and strong compliance-minded architecture in regulated domains.”
Yasasswi Katta
Mid-level Full-Stack Software Engineer specializing in distributed systems and cloud applications
“Full-stack engineer with experience at Wipro and Cisco building real-time monitoring and observability platforms from scratch. Stands out for combining streaming/data-pipeline depth (Kafka, Fluentd, Elasticsearch, Redis) with strong React/TypeScript frontend execution, and for delivering measurable impact such as cutting troubleshooting time by nearly a third.”
Jerome Reduta
Entry-level Full-Stack Engineer specializing in web applications
“Built and deployed a full-stack TypeScript "SillyStore" application with React, Express, and PostgreSQL, owning frontend, backend API, database design, and deployment. Stands out for pragmatic architecture decisions, hands-on SQL/Postgres work, and debugging production-like deployment issues caused by TypeScript and Node environment mismatches.”