Vetted Machine Learning Professionals

“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.”

Mahad Asif

Screened ReferencesModerate rec.

Mid-level Game Developer specializing in Unity, AR/VR, and cross-platform products

Rawalpindi, Pakistan4y exp

“Exceptionally young game developer who says he began at age 10 and was employed as a Unity developer at 13. He has hands-on experience building gameplay systems, VR/Web/mobile projects, Photon multiplayer features, and AI/ML experiments—including an open-source protein-model research pipeline reportedly under peer review at PLOS ONE.”

“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.”

Muhammad Murtaza Murtaza

Screened

Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics

Islamabad, Pakistan5y exp

“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.”

Bay Sukh

Screened

Mid-level Full-Stack Developer specializing in Java/Spring and modern web SPAs

Remote6y exp

“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.”

Sakshi Dhumma

Screened

Junior IT & Software Engineering Co-op with VR and computer vision projects

Toledo, OH3y exp

“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.”

Marc Mirapeix

Screened

Mid-Level Game Developer specializing in tools, engines, and Unity/Unreal

Andorra, Andorra3y exp

“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.”

Maham Saleem

Screened

Senior Game Developer specializing in Unity, multiplayer, and AR/VR

Bahawalpur, Pakistan8y exp

“Unity/C# gameplay engineer with strong ownership of real-time multiplayer systems, highlighted by building the server-authoritative Photon Fusion architecture for Kawamon.io end-to-end. Brings a useful mix of multiplayer networking, mobile/VR optimization, and AR pipeline experience, plus technical leadership through code reviews, standards, and mentoring.”

“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”

“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.”

Deinard Sihombing

Screened

Mid-level SQA Engineer specializing in integration testing and QA/QC

Pematangsiantar, Indonesia4y exp

“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).”

“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”

“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”

“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.”

“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.”

“QA/supplier-performance focused candidate who uses defect and delivery data to spot recurring issues early, identify root causes tied to rushed timelines/high workload, and implement practical process changes (e.g., added validation steps and tightened defect definitions). Emphasizes clear, metric-backed communication to align internal stakeholders and suppliers, then monitors post-change results to confirm sustained improvement.”

Divya Patel

Screened

Mid-Level Software Engineer specializing in .NET and CMS platforms

Fremont, CA6y exp

“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.”

KARISHMA PAPPU

Screened

Junior AI/ML Engineer specializing in machine learning and data pipelines

2y exp

“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.”

Hitha Sunkara

Screened

Junior Full-Stack Developer specializing in web apps and machine learning

Long Beach, CA3y exp

“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.”

“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.”

Rasheed Samady

Screened

Entry-level AI Engineer specializing in automation and ML platforms

San Francisco, CA0y exp

“Built a production Python lead intelligence pipeline that combined external APIs, website crawling, and automated opportunity brief generation, with strong emphasis on reliability, observability, and recovery. Also has hands-on Playwright experience hardening flaky, dynamic web automations and reducing intermittent failures to under 5% through logging, screenshots, session management, and retry strategies.”

“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.”