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Vetted Software Engineers
Pre-screened and vetted.
Antariksh Patil
Junior Full-Stack Software Engineer specializing in cloud, automation, and data-driven ML systems
“Master’s capstone at Stevens: conceptualized and helped build a cross-platform assistive mobile app for visually impaired users with currency detection (ML), voice-driven AI chatbot (OpenRouter), and a guided navigation video-call feature using a shared room code. Personally implemented Firebase login/sign-in, facial-recognition login, video calling, chatbot integration, and led integration/testing across the full app.”
Harsh Shah
Mid-level Software Engineer specializing in full-stack web, DevOps automation, and data engineering
“Co-op engineer who owned and shipped a Python/Flask backend for automating architecture reviews and system metadata processing, including ingestion from multiple internal APIs, RBAC, testing, and deployment. Has hands-on Kubernetes + GitOps (ArgoCD) experience, built Kafka-based real-time ingestion, and supported a cloud-to-on-prem migration with phased cutover, smoke tests, and performance tuning.”
Vaishnavi Rai
Mid-Level Software Engineer specializing in full-stack and mobile development
“Frontend-leaning engineer who shipped an end-to-end map-based discovery feature in a React Native mobile app, integrating location-based REST APIs with strong UX polish (loading/empty/error states) and cross-platform performance fixes. Also has experience building a Python backend with JWT auth and layered service structure, plus prior infrastructure work setting up centralized logging and monitoring.”
Angel Gurrola
Entry-Level Full-Stack Developer specializing in web applications and databases
“Software engineering capstone contributor who helped kickstart an ambiguous, real-client project ("The Virtual Cowboy") by designing the initial relational database and CRUD foundation, then prioritized and shipped simulation/event functionality that satisfied the client. Also building a personal full-stack Book Notes web app (Node/Express/Postgres) with Google OAuth via Passport and a books API ingestion flow focused on data quality and reliability; has deployment experience with Heroku and PythonAnywhere and is ramping up on AWS.”
Atharva Jadhav
Junior Full-Stack Software Engineer specializing in cloud-based web applications
“Product-focused full-stack engineer with strong performance and reliability instincts: improved production page responsiveness by 15% via lazy loading and render optimization, and built a polished React+TypeScript filtering dashboard with URL-synced state for shareable views. Also designed and operated a Django REST backend with versioning, token auth, structured logging, and API tests, and has handled real production scaling issues through PostgreSQL query-plan analysis and indexing.”
Rizwana Shaik
Mid-level Full-Stack Software Engineer specializing in cloud-native apps and AI copilots
“Internship project building and deploying a LLaMA-based, RAG-enabled copilot inside a Professional Services Automation platform, enabling natural-language navigation, text-to-SQL reporting, and project/resource/budget insights across multiple modules. Addressed real production issues like context drift and vague queries with hybrid search, metadata enrichment, and an intent classification/rewriting layer, orchestrated via Apache Airflow—ultimately cutting PMO reporting time by 40%.”
Ahmad Alomari
Senior Data Scientist & Machine Learning Engineer specializing in computer vision and production ML
“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”
“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”
ROHITH DAMARLA
Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines
“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”
Hamdy Elmorsy
Junior Autonomous Driving Perception Engineer specializing in sensor fusion and SLAM
“Robotics software engineer with thesis work optimizing the Autoware perception pipeline via DDS/synchronization tuning for lower latency and better throughput, plus hands-on ROS1/ROS2 experience deploying perception (YOLOv8) and SLAM/localization on real vehicles and delivery robots. Has practical debugging depth (Kalman filter crashes, transformation/scan-matching issues) and CI/CD automation experience with Jenkins.”
Emmanuel Eruck
Senior Full-Stack Software Engineer specializing in AI and FinTech
“Frontend engineer who led the mentorAi SaaS platform UI end-to-end at IBL.ai, building real-time React/Redux experiences backed by WebSockets and scaling quality with Playwright E2E tests in GitHub CI. Also worked at Paymentology for ~2 years on fintech features (token management, Visa card creation/assignment and funding flows), modernizing an existing React codebase by introducing TypeScript and strengthening CI/coverage with SonarQube to reduce deployment bugs.”
Kishan Kumar Reddy Konreddy
Junior Software Engineer specializing in distributed systems and cloud platforms
“Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.”
David Momoh
Senior Full-Stack Engineer specializing in web, mobile, and cloud platforms
“Frontend engineer/lead who has shipped multiple production applications including VentureRamp (multi-platform crowdfunding app, deployed early 2024), DataPotter (large-scale stakeholder tracking dashboard), and Nasdmobile (OTC stock trading app). Emphasizes scalable microfrontend/modular architecture, strong state management (React + TypeScript + Redux Toolkit), and disciplined release practices (feature flags, phased rollouts, monitoring) while leading teams through sprints and knowledge-sharing.”
SAI KUMAR PUNUGUPATI
Junior Full-Stack Software Engineer specializing in AI workflows and LLM integrations
“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”
Zaid Kamil
Mid-level XR Software Engineer specializing in real-time AR/VR digital twins
“Built and owned an end-to-end real-time IoT telemetry backend that powers a digital twin experience on a Meta Quest headset, integrating Cisco LoRaWAN sensors and external REST data sources. Migrated from Azure Functions to a FastAPI service to overcome firewall constraints, add caching/fallback reliability, and significantly reduce operating cost while improving performance and evolvability.”
Ertan Turan
Senior Software Engineer specializing in Unity (AR/VR) and interactive 3D applications
“Unity/C# developer (7+ years) who has shipped VR apps targeting Meta Quest (Quest/2/Pro) using OpenXR/Meta XR SDK, with deep standalone performance optimization and comfort-focused UX. Owns the full delivery pipeline from Android build/signing and Gradle config to Windows installers and auto-patching via Azure, and builds robust Unity UI design systems plus core tech like humanoid bone mapping and VHACD collider generation. Also cross-functional across ReactJS dashboards and Python tooling to port VR workflows into Maya/iClone/Blender.”
Tim Kwok
Senior DevOps Engineer specializing in multi-region AWS/GCP cloud infrastructure
“Backend/data engineer with strong AWS production experience spanning FastAPI microservices and large-scale data pipelines. Has delivered containerized Python services on EKS with Terraform/Helm/GitHub Actions, implemented robust auth/secrets practices, and owned ETL reliability (Glue/S3/Redshift) including incident response and idempotent reruns. Demonstrated SQL tuning on 50M-record ETL workloads to remove SLA misses and improve reliability.”
Charmi Dharmendrakumar Parmar
Mid-Level Software Engineer specializing in full-stack and cloud-native systems
“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”
Bryant Conti
Junior Full-Stack Software Engineer specializing in React/Node.js and backend APIs
“Built and deployed a production Incident Tracking System using Next.js (App Router) + TypeScript with Postgres (Neon) and Prisma, including RBAC (User/Support/Admin), tickets/comments, and audit logging. Uses Zod for schema/type validation and relies on Chrome/React DevTools to debug and refine UI/UX and performance.”
Vincent Camp
Senior Software Engineer specializing in .NET, Unity, and simulation systems
“Unity/C# simulation developer with 6 years in government/contractor environments, including ownership of multi-million-dollar Navy training sims. He led architecture and delivery of a complex FPS-style educational simulation tracking over 500,000 components, optimized to run on constrained VR/Android hardware and still in active use today.”
Sumeet Singh
Junior Software Engineer specializing in full-stack web and cloud development
“Full-stack engineer who has owned both institutional and personal products end-to-end, including Rutgers' myCommunity platform used by 70,000+ students. Particularly strong in production systems, data synchronization, authentication, and third-party API integrations, with a pragmatic approach to shipping, observability, and UI modernization.”
Fabio Silva Ramos
Senior Game Developer specializing in Unity, VR, mobile, and educational games
“Game developer based in Brazil who has shipped Unity/C# multiplayer and VR experiences, including an educational co-op game using Photon and Horizon Worlds content. Stands out for owning systems end-to-end—from architecture and UML planning through QA, live player feedback, and cross-platform optimization—while also using LLMs pragmatically to improve development and QA workflows.”
Ankit Gupta
Junior Software Engineer specializing in backend systems and AI applications
“Engineer who independently shipped pagination for a global financing platform handling large financial datasets, including accounts with roughly 25,000 securities. Stands out for using AI pragmatically—accelerating boilerplate while rigorously reviewing data contracts, ordering assumptions, access control, and production reliability in a financial domain.”