Vetted Engineering Professionals

“Robotics software engineer/research associate with an MS in Robotics who built a ROS2-based, self-healing multi-robot fleet framework as a solo developer, combining LLM-driven decision-making (Gemini/ADK) with persistent fleet memory for cross-robot learning. Also has hands-on autonomy stack experience (Nav2, SLAM) and real-world robotics work including EKF sensor fusion for an excavator robot and closed-loop hydraulic control optimization.”

“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”

“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).”

“Entrepreneur with 20+ years in the recruiting industry building a Salesforce-based CRM tailored to track candidate outreach from initial identification (positioned as a differentiated alternative to traditional ATS workflows). Previously launched a small consulting company after spotting unmet technical needs among small medical practitioners, emphasizing branding and relationship-driven business development.”

“Game QA professional with AAA open-world shipping experience, owning high-impact quality risks like save-data corruption, progression blockers, performance drops, and multiplayer desync. Demonstrates strong systems thinking and exploit prevention (e.g., reproduced and helped fix a reward-duplication race condition using network interruption + rapid input), with disciplined JIRA/TestRail workflows and evidence-driven bug reporting.”

“Cloud/DevOps-focused engineer with hands-on experience building Azure DevOps CI/CD pipelines for containerized applications deployed to AKS, including security scanning, approvals, versioned artifacts, and rollback. Also implemented Terraform-based IaC for Azure (VNets/subnets/NSGs/AKS) with modular design, remote state/locking, and drift detection; resolved a real deployment outage caused by an Azure RBAC permission change.”

“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.”

“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.”

“Unity game developer with experience shipping mobile titles and building multiple games largely solo across genres. Described a Mad Max-inspired vehicle-combat racing game where they implemented AI combat behaviors and real-time race position tracking using distance/sorting algorithms and 3D vector math. Uses tools like ChatGPT/Claude/Cursor as a support layer for research and iterative code improvement.”

“Entrepreneurially minded technology-focused candidate who has built a full business plan (including business continuity planning) and successfully raised $65,000 by pitching to the SBA and angel investors. Identified a market gap in small businesses lacking IT staff and developed a remote IT support method to address it.”

“Data engineer with experience at Morgan Stanley and Star Health owning production-grade lakehouse pipelines for credit risk and healthcare datasets. Built Azure/Databricks/Delta/Snowflake-based platforms processing millions of records per day with strong data quality, observability (Monte Carlo/Azure Monitor), and reliability practices, plus experience delivering curated data services with performance tuning and backward-compatible versioning.”

“Full-stack engineer who shipped a production real-time code editor using Next.js App Router (server components for MongoDB fetch + client components over WebSockets) with optimistic updates and concurrency conflict handling. Also designed a multi-tenant Postgres subscription billing data model and validated analytics query performance with EXPLAIN ANALYZE; reports a ~25% improvement in supported concurrent sessions via MongoDB/schema optimization.”

“Software engineer who built an AI marketing/outreach agent end-to-end: Next.js (App Router + TypeScript) frontend integrated with a Python/Django REST backend using LLMs (Gemini, ChatGPT-4o) and SQL databases. Demonstrated measurable performance wins—improved a 100k-record UI by 15% (Lighthouse) and cut a Postgres-backed search API from ~3s to ~1ms via indexing—while also owning post-launch monitoring (webhooks/cron, New Relic/CloudWatch) and customer support.”

“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.”

“Backend/data engineer who has owned end-to-end production pipelines and data services, processing ~500K–1M records/day from APIs/logs into MySQL and serving via REST APIs. Strong focus on reliability and data quality (ELK + structured logging/monitoring), with measurable improvements (~30% reduction in bad data, ~20% query performance gains) and experience operating external data collection/scraping systems with anti-bot and schema-change resilience.”

Darmawan Kurniaputra

Screened

Senior System Analyst specializing in software QA and FinTech payments

Tangerang Selatan, Indonesia10y exp

“Indonesia-based software tester with hands-on experience testing payment software on EDC machines and manual web application QA, plus early exposure to Selenium automation. Pragmatic about deadline-driven triage—prioritizes critical issues and plans lower-impact fixes for future patches—while expressing strong interest in learning game-industry standards.”

Uzair Asif

Screened

Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features

8y exp

“Frontend lead for a consumer-facing social platform, owning architecture through release. Built scalable React/TypeScript systems (Redux Toolkit, Remix) with a shared Storybook component library and strong quality gates (CI, Jest/Cypress). Experienced modernizing legacy codebases incrementally with feature flags and shipping major dashboard features with staged rollouts and close QA collaboration.”

Umair Azam

Screened

Senior Full-Stack Software Engineer specializing in Ruby on Rails and React

Lahore, Pakistan10y exp

“Frontend engineer with React/TypeScript experience who has led end-to-end UI work on a fintech product (React frontend with NestJS APIs), emphasizing performance (virtualized rendering, memoization, lazy loading, profiling) and quality at scale (unit tests and TDD). Also built and iterated on a snooker sports app, simplifying UX through audience-focused design decisions and streamlined onboarding.”

Venkata Sai Bharath Sirigiri

Screened

Junior Robotics/Mechatronics Engineer specializing in EV charging communications and HIL testing

2y exp

“Embedded/EV charging test & validation engineer working across EVSE and EVCC products, specializing in CAN/DBC analysis, firmware deployment, and HIL testing. Built custom Python GUI tools (CAN explorer + configurable test scenario runner) to accelerate diagnostics and reproducibility, and has resolved high-stakes customer interoperability issues by pinpointing hardware/firmware edge cases. Actively looking to pivot into robotics, leveraging prior robotics projects (SLAM, path planning, vision/perception).”

Zachary Ringwood

Screened

Junior Full-Stack Developer specializing in React Native and Java/Spring

3y exp

“Frontend engineer who created an in-house React-like framework (“React-Wilcox”) enabling modern, event-driven UI components on extremely legacy browsers (as far back as 2002), including race-condition avoidance via batched state updates. Also does freelance work untangling AI/vibe-coded frontends for nontechnical founders, componentizing UIs and fixing routing/readability, and recently built a React+TS social app for martial artists with privacy-preserving location distance features.”

Varun Mahankali

Screened

Junior Full-Stack Software Engineer specializing in React, Node.js, AWS, and Generative AI

3y exp

“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.”

Binaya Sharma

Screened

Senior Software Engineer specializing in full-stack systems, big data, and applied AI

Baton Rouge, LA6y exp

“Built and deployed ForensicLLM, a local domain-specific LLaMA-3.1-8B model for digital forensic investigators using RAFT + RAG over 1000+ curated research papers, with citation-aware responses and rigorous evaluation (BERTScore/G-Eval). Deployed via vLLM and Docker and validated through a chatbot survey with 80+ participants; published at DFRWS EU 2025.”

sampath achalla

Screened

Mid-Level Software Engineer specializing in backend and full-stack web applications

USA4y exp

“Backend engineer focused on scalable, secure, observable systems—built an async workflow backend with REST APIs and state persistence that improved reliability under concurrent load and cut end-to-end processing time ~40%. Strong in production security for multi-tenant systems (OAuth2/JWT, RBAC, DB row-level security) and in low-risk migrations using feature flags and canary releases, including catching and preventing cross-tenant data access issues with CI-based RLS tests.”