Vetted Machine Learning Professionals

“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”

“Unity/VR developer who has shipped multiple Meta Quest titles, including a Meta Quest 3 VR heritage app backed by the Malaysian Tourism Commission. Built a complex MMO metaverse game end-to-end solo (Photon Fusion 2 multiplayer, 21x13km world, procedural biomes, combat/inventory) with blockchain/NFT integration (Solana/BSC) and AWS hosting, and actively uses AI tools to accelerate prototyping and internal tooling.”

“Built and scaled an internal AI code-search/assistant agent that expanded from engineering-only to broader internal users, tackling legacy code and inconsistent standards to make a RAG pipeline production-ready. Uses a metrics-driven approach (user feedback + automated Python evaluation for retrieval relevance and latency) and has handled high-pressure outages, including moving parts of the stack off AWS and adopting Milvus on internal infrastructure for resilience.”

“Unity gameplay developer who implemented a zone-based variable-gravity system for a car/racing game ("Electric Car"), requiring careful physics tuning to keep the vehicle controllable and on-screen. Iterates via repeated playtesting to balance feel and smoothness, and uses AI tools to accelerate debugging and unit test work.”

“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”

“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”

“Dual major in Computer Science & Engineering and Electrical Engineering who built a VR-based powered wheelchair assessment simulator with an NGO for disabled clients. Served as software/controls lead, implementing ESP32 head-array firmware (HID keyboard approach), Unity motion/physics and safety logic, and therapist-oriented scoring/logging; achieved <50ms motion variability and reduced collisions by ~50% in user trials.”

“Full-stack Java/Spring Boot + SPA (Angular/React) engineer who has delivered products end-to-end, including a financial management portal for SMBs and a high-traffic golf/hotel reservation platform. Notably migrated a manually deployed system to AWS (EC2/RDS/S3/CloudFront) with Jenkins CI/CD and has hands-on React performance optimization experience for LG webOS TV apps.”

“Software engineer with hands-on hardware/software crossover work: led an EMG circuit project using PSpice simulation and MATLAB-based data processing. Also contributed to an agriculture research computer-vision effort (hens/eggs tracking), building a PyTorch inference program and boosting model accuracy by ~10–20%, plus limited ROS 2 Humble exposure on an autonomous EV model with LiDAR/camera detection.”

“Hands-on technical/product-facing engineer with experience operationalizing LLM/agentic workflows and debugging them in real time using logs, traces, and metrics. Also supports go-to-market by running developer-focused live coding demos and partnering with sales on discovery and integration/maintainability concerns through clear technical documentation.”

“Software QA professional with ~4 years of experience in web app integration and stress testing, who has delivered under tight deadlines by prioritizing core features and testing in parallel with developer fixes. Uses AI tools to speed up creation of Selenium automation scripts and automated test documentation; new to console-specific certification requirements (Sony TRC/Microsoft XR/Nintendo LOT).”

“Built and organized SQL databases for a grocery pricing update backend and has hands-on experience designing FastAPI/Python APIs with security controls like authentication, RBAC, and strict validation. Also brings research experience identifying real-world failure modes (weather-driven sensor/model inaccuracies in MSE wall corrosion work) and adapting models to improve robustness, plus UI design support on an email-restricted campus hackathon enrollment flow.”

“Built and productionized an LLM-based system that summarizes large volumes of unstructured content (customer feedback/internal docs) to reduce manual analysis and surface decision-ready insights. Brings strong reliability practices—prompt/schema constraints, validation checks, orchestration with Airflow/Databricks, and rigorous component + end-to-end testing—plus experience partnering closely with business stakeholders to drive adoption.”

“Full-stack engineer and Scrum Master who led a major monolith-to-microservices migration, including a micro-frontend Angular architecture using Native Federation and staged integration into the legacy app. Also built a React + TypeScript “Business Risk” product featuring a metadata-driven dynamic dashboard/forms layer backed by Spring Boot + GraphQL, with strong QA practices (unit/integration/E2E via Cypress), CI/CD, and feature toggles.”

“Built and owned end-to-end systems for the Department of Water Resources and NAHC, including a debt infrastructure management system and a TypeScript/React + .NET 6 CMS. Strong in shipping quickly with quality (CI/CD, automated testing), optimizing SQL Server performance for large datasets, and implementing microservices-style async processing with reliability patterns (retries/idempotency/monitoring). Also delivered widely adopted internal workflow automation and reporting using Power Automate and Power BI.”

“Customer-facing engineer from Popular Tech who built and deployed tailored AI/automation features for enterprise voice systems. Experienced in integrating customer workflows via APIs, handling live production latency incidents through log tracing and rapid stabilization, and validating solutions through phased rollouts, monitoring, and direct on-site collaboration with clients.”

“Console game QA tester with hands-on PlayStation/Xbox/Nintendo experience, including investigating a difficult cross-platform multiplayer desync by isolating network/game conditions and delivering evidence-rich bug reports (logs/timestamps/video) followed by regression. Also brings QA experience from capital markets systems (market surveillance/index calculation), prioritizing issues based on severity and regulatory/latency risk, and uses AI tools to improve reporting and RCA summaries.”

“Embedded/IoT-focused builder who has shipped solo projects on ESP32 + FreeRTOS, including a security camera system with a machine-vision pipeline, light-sensor-driven IR control, and Telegram-based animated GIF alerts. Demonstrated real-time debugging skills by resolving race conditions and timing issues via buffer redesign and mutex-based synchronization; no ROS/ROS2 experience yet but open to learning.”

“Controls and Navigation Engineer at Krishiboot Technologies building an AgriTech robot, owning crop-lane path planning, outdoor GNSS navigation, ML model integration for weeds/crops, and multi-sensor localization (encoders + dual IMUs + GNSS via EKF) validated through Gazebo simulation and field trials. Also delivered a ROS2-based food-serving robot with LiDAR SLAM, visual SLAM obstacle avoidance, and Nav2 SMAC/A* motion planning tuned for dynamic restaurant deployments.”