Vetted Debugging Professionals

Swathi Sankaran

Screened

Senior Python Full-Stack Developer specializing in cloud, data engineering, and ML/GenAI

New York, NY10y exp

“Backend/data engineer with hands-on production experience building FastAPI services on AWS and implementing strong reliability/observability (CloudWatch, ELK, correlation IDs, alarms). Has delivered serverless + container solutions with IaC (CloudFormation/Terraform) and Jenkins CI/CD, and built AWS Glue/PySpark pipelines into S3/Redshift with schema-evolution and data-quality safeguards; demonstrated large-scale SQL tuning (45 min to 3 min on a 500M-row workload).”

Shravya Shashidhar

Screened

Intern Software Engineer specializing in LLM agents and full-stack development

Seattle, USA1y exp

“Embedded C++ engineer with Bosch automotive infotainment experience, owning real-time audio middleware modules with strict latency/memory constraints. Strong in profiling/optimizing deterministic behavior, debugging hardware-specific intermittent issues, and building automated test + CI pipelines; currently ramping up on ROS2 concepts (DDS, nodes/topics/services) to transition toward robotics.”

“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”

“Python backend engineer with experience combining traditional API/microservices development and GenAI integrations, including healthcare claims workflows. Particularly compelling for teams building production AI systems: they pair hands-on work with LLMs, RAG, LangChain-style orchestration, and AWS deployment with a strong emphasis on reliability, security, and engineering discipline.”

“Senior engineering executive who has spent the last decade leading large-scale platform modernization while staying deeply hands-on in architecture, debugging, and code reviews. He has led 120+ person organizations, built cloud-native SaaS and identity platforms across regulated and enterprise domains, and ties engineering decisions directly to revenue outcomes, including contributing to Wind River's $1B+ milestone.”

“Frontend engineer with JP Morgan Chase experience building data-heavy React/TypeScript products, including an AI-powered enterprise search application and workforce analytics dashboards. Stands out for combining reusable component architecture, Redux-driven state flow, responsive CSS, and production performance tuning for large-scale internal enterprise tools.”

Javon Lee

Screened

Senior Software Engineer specializing in AI platforms and cloud-native systems

Baltimore, MD8y exp

“Engineer with startup CTO experience and recent hands-on full-stack work at Microsoft and Clarity, focused on compliance and AML workflow platforms for financial services. Stands out for building scalable data and audit systems that reduced manual processing and improved performance, while operating effectively in ambiguous early-stage environments.”

“Built and owned Prism, a real-time collaborative coding platform, making key architectural choices around deterministic event ordering and a backend source-of-truth to improve trust under concurrent edits. Also created a Python-based bug analysis and test automation suite that became part of standard engineering workflow, cutting debugging time by ~95% while improving fault detection coverage.”

“AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).”

“Procurement/sourcing professional with deep end-to-end ownership of recurring program supply and services sourcing (materials plus logistics/fulfillment), focused on reducing unit and landed costs while improving OTIF and tightening SAP purchasing controls. Demonstrates structured supplier vetting (capability, capacity, execution reliability), strong negotiation on commercial terms and SLAs, and proactive mitigation of international trade/freight/duty volatility through risk-adjusted sourcing strategies.”

“Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.”

“QA automation engineer with experience at Amazon Game Studios owning an end-to-end automated scale testing suite that simulates high-concurrency gameplay and captures performance telemetry. Improved coverage by bypassing hours of gameplay via programmatic state setup, enabling repeatable 4000-player dungeon-entry tests that exposed a messaging-queue bottleneck fixed before release. Also built maintainable Selenium/pytest UI automation with CI gating, reporting, and flake-reduction patterns.”

“Engineering leader/player-coach who led a high-stakes 0→1 in-house usage-based billing/rating platform to replace a third-party system, saving millions and protecting 30M+ in revenue. Deep experience in event-driven microservices on AWS (Lambda/SQS/DynamoDB), billing correctness, migrations, and incident response, while scaling teams through hiring, coaching, and lightweight execution processes.”

Hardik Goyal

Screened

Senior Integration Developer specializing in enterprise automation and data integration

United States4y exp

“Frontend-focused engineer with experience building and optimizing React-based dashboards and reusable component libraries in a multi-team, internal open-source-style environment at Merck (ClearSight Forecasting Dashboard). Also handled production user issues on a live streaming platform (GameSee.tv) and built a financial application from scratch at Manipal Business Solutions, owning backend services, middle-tier APIs, and third-party integrations.”

Vineeth Reddy Vallapureddy

Screened

Mid-level Full-Stack Software Engineer specializing in backend microservices and enterprise AI tools

Redwood City, California5y exp

“Backend/platform engineer with experience across C3.ai (supply chain demand planning) and Amdocs (telecom), working on large-scale data systems and microservices. Has driven first-time adoption experiments of Snowflake + Spark to handle billion-record workloads, built Jenkins-to-Kubernetes delivery pipelines with Nexus artifact management, and implemented Kafka streaming between microservices with HA and retry/error-handling patterns.”

Natalie Tsang

Screened

Intern Mechatronics/Robotics Software Engineer specializing in ADAS and ROS2

Waterloo, ON1y exp

“Robotics software engineer with experience spanning embedded C++ control on microcontrollers and ROS/ROS2 production systems in automotive and marine robotics contexts (Harbinger Motors, Impossible Metals). Has deep hands-on experience debugging real-time image pipelines (DDS/QoS tuning, HIL stress testing) and building large automated test suites (1200+ tests) plus CI/CD (Dockerized Playwright tests on Jenkins).”

Allison MacMillan

Screened

Engineering Manager specializing in programmatic advertising and large-scale backend systems

San Francisco, CA7y exp

“Engineering manager with recent hands-on technical leadership in vendor-based geo augmentation, including making a key pivot from a broken vendor SDK to an internal data ingestion approach. Previously shipped impactful Python microservice refactors that reduced unnecessary data processing/storage and improved runtime payload efficiency, and has owned on-call incidents through mitigation (scaling pods) and prevention process changes.”

Karel Chabera

Screened

Senior Technical Game Designer specializing in gameplay systems and pipelines

Orlando, FL9y exp

“Modes/progression designer on EA College Football (Dynasty and Road to Glory) who has owned multiple shipped progression systems, including recruiting and Road to Glory progression (meters, in-game reward triggers, and a "coach trust" meta-progression). Focused on modular system design and tuning/balancing for player-facing challenges and rewards, with strong QA-driven iteration and Blueprint-based prototyping practices.”

“Full-stack engineer who has built and shipped production Next.js (App Router + TypeScript) applications end-to-end, including an authenticated dashboard with protected routing and post-deploy troubleshooting. Designed Postgres schemas for collaboration/analytics (users/workspaces/sessions/events) and achieved ~60% query-time reduction through indexing and query-plan-driven optimization, with a strong emphasis on accessibility and server-first React architecture.”

Nirmal Attarde

Screened

Mid-Level Software Development Engineer specializing in backend microservices and cloud

3y exp

“Software engineer with Oracle experience deploying a BioCatch fraud-detection integration into HDFC Bank’s core banking platform, using phased rollout and real-time monitoring and reporting ~80% fraud reduction. Also built a modular speech-to-text product (VocalSense AI) achieving ~95% accuracy and has strong production incident response skills (15-minute recovery) plus AWS serverless API hardening for messy inputs.”

Chanatip Vachirathanusorn

Screened

Entry-level Software Engineer specializing in full-stack and FinTech systems

San Diego, CA2y exp

“Software engineer with AppFolio payments experience who shipped an end-to-end payment adoption rollout during a short internship, including full-stack implementation, stakeholder coordination, and real-time monitoring. Also built an insurance service AI agent inspired by his father's agency, combining structured document ingestion, RAG, and agentic integrations to improve reliability on dense policy documents.”

“Built a Flask-based web application for NCAA Men's gymnastics and also worked on a survey-question collection and normalization project for UC Berkeley's Cameron Institute. Shows a clear reliability mindset through validation, testing, logging, and error handling, and is comfortable turning ambiguous, messy data workflows into stable applications.”