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Vetted Computer Vision Professionals
Pre-screened and vetted.
Mid-level Software Systems Engineer specializing in AI, robotics, and connected platforms
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Harshini Kanamathareddy
Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications
“Full-stack/backend engineer with experience spanning React/TypeScript, Flask, Spring Boot, SQL databases, and production mobile optimization. They’ve shipped features end to end, improved query performance and app startup/crash metrics, and helped drive a configuration-driven architecture that enabled faster releases across 30 consumer applications.”
Harika N
Mid-level Software Engineer specializing in VR simulation and full-stack development
“Built and owned core systems for VISTA, a VR drone training simulator in Unity/C#, including modular training scenarios, drone physics, restricted airspace logic, and dynamic weather-aware gameplay. Stands out for combining VR performance discipline on Meta Quest with realistic-yet-trainable flight controls and close collaboration with faculty SMEs to align the simulation with real training workflows.”
Ian Hackman
Mid-Level Unreal Engine Engineer specializing in gameplay systems and UI tools
“Unreal Engine 5 gameplay/systems developer who led major core features for the Early Access Steam city builder Geopogo Cities: Windsor Detroit, including an end-to-end building placement system tightly integrated with economy, AI pedestrians (Mass AI/Zone Graph/State Trees), and procedural city block generation. Also built a third-person exploration layer with character customization, stamina, and animation retargeting on top of the City Sample Crowd framework, plus shipped player-driven UX improvements based on live Early Access feedback.”
Fadi Abbas
Executive product leader specializing in AI-native products and EdTech platforms
“Product leader and founder with experience spanning EdTech, AI, LegalTech, and mobile imaging. He co-founded a tutoring platform that grew to 300K+ students and later built citation-grounded legal AI systems designed for high-trust, high-stakes workflows. Particularly compelling is his consistent philosophy of using AI to amplify human expertise rather than replace it, backed by global team leadership and strong product execution across EMEA, the US, and Asia.”
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Raswanth Velmurugan
Intern Robotics & Autonomous Systems Engineer specializing in multi-robot control and perception
“Graduate robotics engineer from Boston University who led development of a perception-to-decision pipeline for a multi-robot, perception-driven navigation and coordination system. Strong in ROS/ROS2 C++ on Linux, with hands-on experience hardening real-time behavior on hardware (timing sync, QoS/queue/executor tuning) and validating via Gazebo/Webots plus real-robot testing; also uses Docker and basic CI for regression checks.”
Ankita Mungalpara
Mid-level Data Scientist specializing in Generative AI and multimodal systems
“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”
Rahul Karanam
Senior Computer Vision & Robotics Engineer specializing in perception and warehouse automation
“Robotics engineer with hands-on experience scaling a multi-vendor heterogeneous warehouse robot fleet, building a distributed “traffic manager” for collision avoidance and real-time rerouting using CBS/MAPF and DCOP-style negotiation. Strong real-time/safety-critical systems background (RTOS, deterministic lock-free multithreading) plus modern perception and simulation tooling (CNN-LSTM/transformers, CARLA/Isaac Sim, VIO/GTSAM, camera-IMU calibration). Startup-oriented and comfortable moving quickly from prototype to production.”
Likith Kumar Tarala
Mid-level Machine Learning Engineer specializing in deep learning and generative AI
“AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.”
Yurong Luo
Senior Data Scientist/ML Engineer specializing in scalable ML and LLM systems
“Built and deployed an end-to-end product that brings a research-paper approach into production for large-scale time-series clustering, with attention to partitioning, latency, and scalability. Also designed a Python-based backend validation service (comparing outputs to database ground truths) and handled production reliability issues by reproducing dataset-specific crashes and hardening corner-case behavior with client-friendly errors.”
“ML/NLP engineer with recent Scotiabank experience building production-grade indexing automation over large-scale emails and customer databases, combining LLM fine-tuning (Mistral, XLM-R) with fuzzy matching to exceed 95% accuracy under strict banking constraints. Also built a RAG-based chat agent using Gecko embeddings, Vertex AI Search, Gemini, and cross-encoder reranking, and delivered a text-to-SQL chatbot at SOTI through iterative fine-tuning and benchmark-driven experimentation.”
david horachek
Executive Game Systems & Animation Engineering Leader specializing in console and Unreal/Unity
“Unity/C# engineer with AAA and social MMO experience who owned and shipped a marquee VR gameplay system for Meta Quest, using advanced 3D math and closed-form optimization to maintain a solid 60 FPS on constrained hardware. Also builds LLM systems from first principles and integrates native inference into C# pipelines, and has deep multiplayer architecture experience (Photon/Netcode/frame sync) including fault-tolerant WebSocket messaging for mobile connectivity dropouts. Prefers contract work; time zone flexible (EST).”
Jacob Allyn
Senior Physics & Gameplay Engineer specializing in Unity vehicle and multiplayer systems
“Unity/C# engineer who led and shipped a backend-driven mobile AR platform (4D VIEWR) using Vuforia, enabling dynamic content delivery without app updates and focusing heavily on stability under real-world tracking/connectivity constraints. Also shipped authoritative-server multiplayer matchmaking/gameplay flow for NBA 2K vehicle modes, including server-side anti-cheat validation and live issue instrumentation. Recently built a self-hosted multi-agent LLM pipeline to accelerate game-dev workflows with strong reliability and cost/latency controls.”
Edward Ryan
Mid-level Full-Stack Engineer specializing in AI, automation, and synthetic data
“Full-stack product engineer who has owned complex internal platforms end-to-end, spanning React/TypeScript frontends, Flask/Redis backend systems, and relational data design. Particularly strong at turning technically dense workflows into intuitive user experiences, including a synthetic-imagery platform adopted by multiple Army research labs and a marketing analytics system with 99.99%+ uptime.”
Martin Wells
Executive AI & Technology leader specializing in AI, streaming, and gaming platforms
“Worked at an accelerator and served as an Entrepreneur in Residence, providing CTO and general founder support to startups. Although not pursuing entrepreneurship personally, they bring direct exposure to early-stage company building and accelerator ecosystems.”
Phani K
Mid-level AI/ML Engineer specializing in GenAI, NLP, and healthcare-financial ML
“ML/AI engineer with hands-on experience shipping healthcare AI systems, including an oncology risk prediction platform and RAG-based clinical decision support tools. Stands out for combining clinical domain context with strong production engineering across Spark, FastAPI, AWS SageMaker, monitoring, evaluation, and safety guardrails.”
Raghvesh Prasad
Senior Full-Stack Engineer specializing in AI, backend systems, and supply chain platforms
“Full-stack engineer with hands-on experience spanning React/TypeScript frontends, Cloudflare serverless RAG systems, SQL-heavy backend redesigns, and computer vision workflows. He has shipped practical automation and reliability improvements with measurable impact, including cutting a video-validation reporting process from a week to 2 days and fixing a memory-heavy shipment system before Black Friday to support 30K+ orders successfully.”
Amruth Reddy
Mid-level Software Engineer specializing in Python backend and AI applications
“ML engineer at CGI who built demand forecasting models end-to-end, from feature engineering and training through AWS deployment. Stands out for a production-first mindset and strong skepticism of AI-generated code, including catching a Copilot-generated SQL query that would have caused a costly full table scan in production.”
Yogita Adari
Mid-level AI Engineer specializing in generative and multimodal systems
“Built and productionized an agentic LLM automation system for an insurance client to determine medication eligibility, using prompt-chaining plus a RAG pipeline over policy rules and deploying on AWS (Lambda/Step Functions, Bedrock) with a serverless architecture. Addressed major data/schema mismatch issues via a semantic matching pipeline and validated performance through human agreement scoring, A/B testing, KPI monitoring, and confidence-based human-in-the-loop review.”
Marc de Vinck
Executive product leader specializing in AI, edge hardware, and SaaS platforms
“Product leader from Deep Sentinel with a strong track record in security tech, AI-enabled video monitoring, and cross-functional execution. He rescued a long-stalled product by redefining the core problem, launched it in 6 months, and has also driven edge-AI threat detection, rapid UX-led web app delivery, and strategic decisions to avoid costly commodity hardware bets.”