Vetted Object-Oriented Programming (OOP) Professionals

David Pang

Screened

Intern Full-Stack Software Engineer specializing in web apps and healthcare APIs

1y exp

“Full-stack developer who built an end-to-end e-commerce application with admin/blog/announcement features using Node/Express and AWS S3, emphasizing security via expiring presigned URLs. Also has strong distributed-systems fundamentals from implementing the Raft consensus algorithm (replication logs, majority acks, leader elections) and has created build automation tools (GNU Makefiles/scripts) to streamline team workflows.”

Dhairya Shah

Screened

Entry-level Machine Learning Engineer specializing in computer vision and systems

Buffalo, NY1y exp

“ML-focused builder who has shipped an end-to-end income-class prediction product: built the data pipeline, trained models, deployed via Streamlit with a live UI, and tracked success via accuracy (84%), adoption, and latency. Demonstrates strong practical MLOps instincts (Docker/Streamlit Cloud, logging/monitoring, caching) and data engineering reliability patterns (schema checks, idempotency, retries, backfills) while iterating quickly in ambiguous, solo-project environments.”

“Frontend developer (~2 years experience) who has built user-tier-based UI logic (BannerRotator) and shipped a KYC workflow in a fast-paced, regulated crypto/e-commerce context. Emphasizes modular React + TypeScript patterns, scenario-driven QA documentation in Notion, and codebase modernization (TypeScript rewrites and legacy hook updates).”

“Built and shipped a production LLM feature that explains DSA problems with real-life explanations, using Grok with automatic failover to OpenRouter (and multiple backup models) to avoid user-facing failures. Improved cost efficiency by implementing difficulty-based token budgets and iterated prompt quality via structured constraints and an in-app feedback mechanism, reporting satisfaction across 38 users.”

“Full-stack system analyst/programmer at PeakPlay Sports (startup) who built an AI "coach" product end-to-end in ~2 months, using a LangGraph-orchestrated multi-agent architecture with a FastAPI backend. Shipped production RAG grounded in athlete history (OpenAI embeddings + vector store) with guardrails and a structured eval loop (golden set + LLM-judge + human review) to improve engagement and reduce hallucinations.”

“Student full-stack builder shipping real products: a mobile app (Sirat) where they delivered end-to-end theme settings with testing and fast post-launch fixes, and a sports web app (Scorva) that generates AI game summaries from game stats with Postgres-backed caching to control LLM costs. Available for full-time work starting June 2026 and targeting $95k–$110k.”

Esther Jibrin

Screened

Junior Software Engineer specializing in Python, SQL, and technical support

Calgary, Canada3y exp

“Frontend-focused early-career developer who led a student club web app from stakeholder discovery and Figma UX/UI through a scalable React + TypeScript build, emphasizing accessibility, reusable components, and tight API alignment with backend. Also has freelance experience translating non-technical client needs into polished sites (including Wix) and has refactored/optimized an existing codebase for maintainability and performance.”

Aviv Komemi

Screened

Mid-level Unity Developer specializing in shared frameworks, tools, and gameplay systems

Petah Tikva, Israel5y exp

“Unity/C# game developer/designer who created a lobby “Race” minigame that incentivized core gameplay engagement; leadership reported roughly a $10k weekly revenue intake increase after release. Has foundational networking experience (sockets, REST) and self-taught Photon, and uses AI tools to quickly refresh and implement newer Unity systems like the Input System.”

Venkata Bayarapuneni

Screened

Junior Full-Stack Developer specializing in JavaScript, Python, and cloud-deployed web apps

Remote, USA1y exp

“Built and deployed a production LLM-powered travel assistant (Globe Trote) that automates end-to-end trip planning using a multi-step agent pipeline with RAG, external API calls, and enforced structured JSON outputs. Focused on reliability (validation, retries, fallback prompts, logging) and reported a ~30–40% reduction in irrelevant/generic responses after adding retrieval grounding.”

“Unity/C# gameplay and rendering engineer who built a custom per-object shadow system in URP that improved performance from roughly 30 FPS to 80+ FPS while preserving high-quality dynamic shadows. Also built a personal multi-process AI/LLM workflow platform with custom prompt/control protocols, streaming UX, and cost-optimized memory/caching architecture—showing unusual depth across both real-time graphics and applied AI tooling.”

“Built and shipped a production AI assistant for a web-based loan/interest calculator that helped users understand EMI results and optimize inputs. Demonstrated full-stack ownership across responsive UI, Node.js APIs, and LLM integration, with a strong focus on prompt refinement, guardrails, caching, fallbacks, and post-launch iteration driven by logs and user behavior.”

Ekta Mulkalwar

Screened

Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems

Los Angeles, CA2y exp

“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”

Hossam Abdelrahman

Screened

Junior Unity Game Developer specializing in VR

Riyad, Saudi Arabia2y exp

“Unity developer with VR and multiplayer experience (Netcode and Photon), including a 4-player VR team-building training project, a 2D top-down tanks game, and a VR ping-pong game. Built a data-driven spaceship weapon/shooting system using ScriptableObjects and designed a clean per-player projectile pooling approach to avoid mismatched networked projectiles. Prioritizes VR/mobile performance optimization and prefers a 9–5 schedule; relocating to Poland and targeting €30–40k net annually.”

Maheswari Thokala

Screened

Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs

CA, USA4y exp

“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”