Pre-screened and vetted.
Mid-level Mechanical & Mechatronics Engineer specializing in robotics hardware and integration
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“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.”
Junior IT & Software Engineering Co-op with VR and computer vision projects
“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.”
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“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.”
Senior Sports Operations & Talent Evaluation Professional with education and insurance expertise
“Elite-level AAU player turned scout/assistant coach with the Tampa Bay Titans and as a freelance scout (Sports Management Worldwide), combining on-the-ground talent evaluation with video analysis and coach-ready scouting reports. Also handled endorsement deal sourcing for players and is willing to be on-camera creating recruiting guidance content for families, with very high phone availability.”
Junior Android Developer specializing in mobile apps and applied machine learning
“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.”
Mid-level Business Development & Growth professional specializing in cybersecurity and B2B marketing
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Entry Python Backend Engineer specializing in AI automation and scalable APIs
“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”
Entry AI Engineer specializing in machine learning, computer vision, and data mining
Mid-level Data & Machine Learning Professional specializing in analytics and automation