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Vetted Software Engineers
Pre-screened and vetted.
Kevan Mehta
Junior Backend/Cloud Software Engineer specializing in microservices and cost-optimized AWS systems
“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.”
Manish Abburu
Mid-level Software Engineer specializing in data pipelines, web scraping, and APIs
“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
Senior System Analyst specializing in software QA and FinTech payments
“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
Senior Full-Stack Software Engineer specializing in cloud-native web, mobile, and AI features
“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
Senior Full-Stack Software Engineer specializing in Ruby on Rails and React
“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.”
Varun Mahankali
Junior Full-Stack Software Engineer specializing in React, Node.js, AWS, and Generative AI
“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.”
sampath achalla
Mid-Level Software Engineer specializing in backend and full-stack web applications
“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.”
Haider Zahoor
Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development
“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”
Mayank VYAS
Mid-level AI/ML Engineer specializing in LLM agents, RAG retrieval, and IoT ML systems
“Built production LLM-driven products including a job-hunt AI (job ranking + resume optimization) and an InterviewAI agentic pipeline using LangChain. Focused on practical deployment concerns like securing OpenAI usage via rate limiting and tiered quotas, and demonstrates an applied approach to choosing models, retrieval methods (RAG), and prompting strategies.”
Muhammad Talal
Senior Game Developer specializing in Unreal Engine multiplayer and VR systems
“Unity VR developer with deep hands-on experience optimizing and debugging standalone-headset VR projects (including Android/IL2CPP and XR interaction systems), though not yet credited with a Meta Quest store ship. Built and shipped a mostly solo Unity top-down shooter (Sand Bullet) on Steam, owning core gameplay, AI, UI/input, saves, performance, and an AWS-connected companion app integration.”
Atharva Chavan
Junior Full-Stack Software Engineer specializing in mobile, cloud, and GenAI integration
“Software engineering intern with hands-on ownership of a Java/Spring Boot order management microservice, including production performance tuning via Redis caching and database indexing driven by API logs/metrics. Also contributed to a production mobile-backend LLM feature using RAG with embeddings over structured data and documents (DB + object storage), with guardrails to keep responses grounded.”
Aleksander Aksionau
Senior C++/Rendering Engineer specializing in game engines and GPU (CUDA) computing
“Gameplay/physics-focused C++/UE5 developer who builds end-to-end real-time 3D systems (custom melee hit reactions, animation, and terrain movement) and debugs deep rendering issues using GPU/pixel-shader tooling. Has hands-on experience with complex networked physics, including ragdoll replication with bandwidth compression and hybrid deterministic/non-deterministic prediction approaches, and is interested in realistic soccer/football movement systems.”
Merub SHAIKH
Junior Software Engineer specializing in full-stack web development and test automation
“Full-stack engineer who built and owned a production workflow/kanban-style drag-and-drop system in Next.js (App Router) with Postgres/Prisma, including reusable component abstractions, Cypress E2E coverage, and post-launch performance/bug ownership. Notable for measurable impact (25% faster UI dev, ~30% query perf improvement) and for leading an incremental Express→NestJS migration that reduced technical debt (~40%) through better structure, docs, and team enablement.”
Avanishika Revelli
Junior Software Engineer specializing in backend, cloud, and robotics automation
“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”
Amr Elkordy
Mid-level Sales Engineer specializing in GNSS/RTK and technical pre-sales
“GEODNET engineer specializing in edge-to-cloud, real-time GNSS data pipelines at global scale (thousands of heterogeneous base stations). Built deterministic-latency ingestion with RTCM/MSM normalization, jitter buffering, and firmware-aware parsing, and shipped production hotfixes using canary rollouts and deep observability. Also delivers customer-specific GNSS/RTK outputs via tested Python tooling (CLI/API) and collaborates on-site with operators to resolve firmware and network-driven issues.”
I Anuj
Junior Backend/Infrastructure Engineer specializing in AWS distributed systems
“Backend engineer with 1.7 years of experience plus prior founding experience who has already owned production systems end-to-end in an early-stage environment. Most notably, they rebuilt a failing ingestion pipeline into a stable SQS/Fargate architecture that improved success from 40% to 100%, boosted throughput 10x, and cut processing time by ~75%, while also shipping an LLM-powered fashion search workflow using Vertex AI and Elasticsearch.”
Atharva Bibave
Entry-level Full-Stack Software Engineer specializing in backend, cloud, and AI systems
“Software engineer with hands-on experience across platform modernization, production AI agents, and workflow automation. They led a monolith-to-microservices migration that increased deployment speed from weekly to daily, built a self-healing GPT-powered browser agent with an 85% autonomous recovery rate, and founded/ran ZapDash, where they hardened Kafka-based integrations against silent data loss.”
“Software/product engineer who has owned a consumer iOS dating app from customer discovery through roadmap execution, while also shipping an in-app LLM-powered support/feedback bot. Brings a mix of product sense and backend systems experience, including rebuilding a race-condition-prone event orchestration system and designing microservices to handle arbitrary black-box production data.”
Ayushi Modi
Entry-level Software Engineer specializing in full-stack and AI systems
“Software engineer with hands-on experience spanning backend APIs, streaming data systems, and cloud/infrastructure automation, who is already using agentic AI workflows in a disciplined way. Stands out for combining practical systems work in Spring Boot, Kafka/Spark/ClickHouse, and Terraform/Kubernetes with a thoughtful approach to AI oversight, architecture, and multi-agent orchestration.”
Mathanagopal Sadagopan
Mid-level AI Engineer specializing in LLM systems and data platforms
“AI/backend engineer who independently built and operated an agentic telecom analytics system end-to-end, using LangGraph and Claude to turn natural language into safe SQL in a regulated environment. He combines startup-speed execution with compliance-minded rigor, citing 95%+ NL-to-SQL accuracy, a 30-minute-to-2-minute workflow improvement, and zero-findings support across three regulatory audit cycles.”
Shuchi Shah
Senior Applied AI Engineer specializing in RAG and full-stack systems
“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”
Darshan Shah
Mid-Level Software Engineer specializing in cloud-native microservices and full-stack development
“Full-stack engineer with deep startup experience building products from scratch under ambiguous requirements. Delivered a scalable, admin-configurable notification platform (Spring Boot/Java/Kafka) supporting 50+ notification types across 3 channels for 10k+ users, cutting new notification setup to ~5 minutes. Also built a Tinder-meets-LinkedIn job-swiping app (React/TS + Node/Prisma) and has hands-on AWS production ops (ECS/EKS, RDS, CloudWatch) plus multiple third-party integrations (Stripe, QuickBooks, Twilio).”
Gagan Jagadish
Junior AI/ML Software Engineer specializing in automation and healthcare imaging
“Backend-focused engineer who built a Python-based automation system leveraging Gemini AI and prompt-driven PDF field extraction to replace a previously manual third-party workflow. Drove stakeholder alignment around accuracy/acceptance thresholds and added production-minded safeguards like graceful failure handling and backup model contingencies.”
ALI JEMAAA
Senior Unity Developer specializing in cross-platform mobile and WebGL games
“Unity developer with shipped Meta Quest 2 room-scale VR experience, owning VR architecture (XR Interaction Toolkit/Oculus Integration), core interaction systems (grabbing/UI/locomotion), and Quest performance optimization. Also built a solo mobile puzzle game with star-based difficulty tuning, UI/performance profiling, and progression/replay systems, and uses AI assistants to speed prototyping, debugging, and documentation.”