Vetted Unit Testing Professionals

Narendhiran Saravanane

Screened

Junior Robotics Software Engineer specializing in ROS 2, controls, and applied AI

Denver, USA2y exp

“Robotics software engineer with 2+ years across ROS1/ROS2 projects spanning humanoid behavior engines and agricultural robots. Built an LLM-driven, ROS2-lifecycle-based decision system plus micro-ROS firmware on Teensy for modular sensors/motors, adding health monitoring that improved reliability 10x. Strong simulation/testing and deployment discipline (Gazebo, 95% coverage, Docker + AWS Greengrass/ECR, CI/CD) and demonstrated localization expertise with EKF sensor fusion achieving <0.5% error.”

Aditya Agrawal

Screened

Intern Software Engineer specializing in backend systems and data engineering

1y exp

“Backend/AI engineer who has built and shipped two products: Know Founder (Python/SQL/AWS) scaling to 2,000+ users in the first month, and Unifr (unifr.online), an AI search visibility engine that queries multiple LLMs and turns responses into structured brand insights. Strong in production reliability/performance (Redis caching, indexing, precomputation) and in designing agentic workflows with guardrails, validation, retries, and human escalation.”

Rasika Deodhar

Screened

Mid-level Full-Stack Software Engineer specializing in Generative AI

Dublin, Ireland6y exp

“Full-stack engineer who shipped an end-to-end speech capability for an LLM chatbot UI, integrating OpenAI APIs and publishing via Google Apigee with client documentation. Has experience operating deployments with Jenkins/Kubernetes/Docker and monitoring with Datadog, and has worked in an innovation-center environment building rapid prototypes under ambiguity with tight stakeholder feedback loops.”

Austin Patten

Screened

Senior Unity Engineer specializing in mobile games and interactive apps

Erie, CO13y exp

“Lead engineer at PeopleFun who owned a data-driven limited-time event system for Wordscapes Search, using Addressables and asset bundles to ship new live content without app updates. Their work was tied to improved retention and stronger player engagement, and they also bring pragmatic AI-assisted development practices plus early VR/Meta Quest prototyping experience.”

SAITEJA MALLEMPUDI

Screened

Senior Data Scientist and AI/ML Engineer specializing in GenAI and cloud ML

Chicago, IL6y exp

“ML/AI engineer with hands-on experience owning systems from experimentation through deployment and monitoring, including a Bank of Montreal project that improved timely interventions by 12%. Also brings GenAI/RAG experience with evaluation and safety guardrails, plus clinical NLP pipeline work extracting medication data from notes for patient risk prediction.”

Ravindrareddy B

Screened

Junior Full-Stack Java Developer specializing in enterprise web applications

Ames, IA2y exp

“Full-stack engineer with hands-on experience building an internal telecom order-tracking/dashboard platform at T-Mobile across React, Spring Boot, and PostgreSQL. Stands out for owning features end-to-end, from scalable frontend architecture and TypeScript patterns to API design, query optimization, CI/CD, and post-launch monitoring in AWS CloudWatch.”

Mohit Sharma

Screened

Principal Salesforce Architect specializing in healthcare and patient engagement

Ewing, NJ15y exp

“Salesforce lead architect working on a large J&J healthcare implementation, with hands-on ownership of security architecture, identity modernization, and Experience Cloud design in a HIPAA-sensitive environment. Particularly notable for leading a SAML-to-OpenID Connect rollout and driving reusable LWC architecture across patient and provider portals while coordinating closely with identity, DevOps, QA, and business stakeholders.”

“Software developer who uses AI pragmatically across the full stack to accelerate coding, testing, debugging, and documentation while maintaining strong human oversight. Stands out for treating AI output like any other code source—reviewing for architecture fit, security risks, performance, and standards before integration—and for coordinating multiple AI tools across backend, frontend, and test workflows.”

“Data engineer/backend engineer with healthcare domain experience at Centene, where they owned an end-to-end claims processing pipeline handling over 1 million monthly records. They combine Python/SQL pipeline work with API and event-driven service development, and cite a measurable 35% reduction in incident detection time through automated monitoring and validation.”

bikramjit ganguly

Screened

Staff Full-Stack Engineer specializing in API-driven web platforms and distributed systems

San Jose, CA24y exp

“Highly agent-centric builder who uses Codex daily to generate and manage full application repos, including Next.js CRUD apps, GitHub automation, and AWS lifecycle scripts to avoid long-lived cloud artifacts. They also experiment with multi-agent workflows for parallel development and correctness checking, showing strong practical fluency with emerging AI-native software development patterns.”

Jessy Kattupalli

Screened

Mid-level Full-Stack Java Developer specializing in enterprise web applications

West Haven, CT4y exp

“Backend/full-stack engineer with hands-on experience building enterprise-scale real-time log analysis platforms using Spring Boot, Kafka, React, and observability tooling. Stands out for using AI tools heavily but responsibly—treating them as accelerators while relying on rigorous testing, architectural review, retry/DLQ patterns, and monitoring to ensure production reliability.”

“AI-focused full-stack product builder from Verizon Applied Research who has shipped internal tools spanning API documentation governance, patent exploration agents, and prompt optimization. Particularly strong at turning unreliable or opaque LLM behavior into structured, trustworthy product workflows that enterprise users can actually adopt.”

Rutuja Sanjay Risbood

Screened

Senior Full-Stack Software Developer specializing in enterprise web and mobile applications

San Jose, CA8y exp

“Front-end engineer with unusually deep browser-systems knowledge, having built and owned a real-time merchant analytics platform for financial analysts handling millions of live transactions. Stands out for combining low-level performance engineering, typed React architecture, and expert-user UX polish, with strong measurable outcomes across speed, usability, and maintainability.”

“Built and iterated an end-to-end virtual waiting room for a real-time ticketing prototype, making concrete architecture tradeoffs (polling + Redis Pub/Sub) and improving performance post-launch with Redis caching (+30% throughput, -15% p99 latency). Also has hands-on experience building Spark/HDFS ETL pipelines with strong reliability/observability patterns and running disciplined NLP model evaluation loops on review-rating classification.”

“Built Taskline end-to-end as a solo founder: an AI-native operations platform for tradespeople with web and mobile apps, AI receptionists, invoicing, scheduling, and payments. Particularly interesting for teams seeking a zero-to-one full-stack builder who can turn LLM/agent capabilities into practical, low-friction products for non-technical users.”

Nicholas Leytem

Screened

Staff Software Engineer specializing in high-throughput retail data systems

Minneapolis, MN12y exp

“Software engineer at a global public growth company since 2015, with experience owning a legacy Java ETL analytics application and helping design and launch a Kotlin/Java data sourcing platform for customer order data. Brings hands-on experience across React, Spring Boot, AWS/Kubernetes deployment, and multi-database architectures, including an inventive pseudo-graph implementation in DynamoDB to support flexible document matching.”

“Candidate brings a pragmatic, production-focused approach to AI-assisted software development, using AI as a pair programmer and conceptually applying multi-agent workflows across coding, testing, and review. They stand out for putting strong guardrails around AI usage—manual review, testing, SonarQube, peer review, and keeping critical logic manual—to improve speed without compromising security or code quality.”

“Backend/platform engineer from Dune Security with strong experience turning messy, fragmented workflows into reusable production systems. They’ve built a shared database abstraction layer, integrated multiple enterprise security platforms into a unified workflow, and shipped AWS Bedrock-powered security insight features with guardrails and human review.”

“Backend/AI engineer who has shipped an LLM-powered enterprise support-ticket agent at Comcast, building a production-grade microservices pipeline (FastAPI, SQS, Redis) with strong observability (OpenTelemetry/Splunk/Prometheus/Grafana) and reliability patterns (async, caching, circuit breakers, idempotency). Demonstrated quantified impact at scale—processing 10k+ tickets/day while improving response SLAs and routing accuracy through evaluation and human feedback loops.”

“Built and owned full-stack features for a real-time pricing and inventory management platform at PDR Technologies, spanning React/TypeScript frontend architecture, Node.js APIs, and PostgreSQL-backed data flows. Stands out for driving a shift to micro-frontends with Nx and Webpack Module Federation, improving team independence and release speed while also delivering measurable frontend performance gains.”

“Data/analytics-focused engineer who builds end-to-end KPI reporting and validation products used daily by plant leads and leadership to track yield, downtime, and defects. Combines Python/SQL + Power BI data pipelines with strong data-quality practices (automated validation, monitoring/alerts) and has experience designing scalable frontend architecture in TypeScript/React and working in distributed/microservices-style data systems.”

“Backend engineer with TaskRabbit experience building and operating payment/booking services in Python/Django on AWS (ECS + Lambda) with Kafka/SQS eventing. Demonstrates strong production reliability and incident ownership in high-stakes payment flows (idempotency, strict timeouts, retries, monitoring/alerting) plus data/ETL work in AWS Glue and measurable SQL performance wins.”

“Backend/data engineer with hands-on production experience across GCP and AWS: built FastAPI microservices on Cloud Run and delivered AWS Lambda + ECS Fargate systems with Terraform/GitHub Actions. Strong in data engineering (Glue/Spark, S3/Redshift) and modernization (SAS to Python/SQL), with proven reliability and incident ownership—including cutting a 20+ minute reporting query to under 2 minutes.”

“AI/LLM engineer who built a production autonomous GenAI content ecosystem that generates short-form scripts, extracts viral highlights from long-form video, and dubs content into 33+ languages. Focused on making LLM outputs production-safe via schema enforcement, token-to-time alignment, critic-agent verification, and scalable async orchestration—cutting manual workflows by ~90% and saving $200k+ annually.”