Vetted Computer Vision Professionals

Pre-screened and vetted.

KI

Khuram Ismaeel

Screened ReferencesModerate rec.

Senior AI/ML Engineer specializing in machine learning and cloud-native AI systems

10y exp
SoftServeAir University

ML/AI engineer with hands-on ownership of production recommendation and GenAI systems, spanning experimentation, deployment, monitoring, and iteration. Stands out for delivering measurable outcomes—22% CTR lift, 15% conversion lift, and a 30% reduction in support tickets—while demonstrating strong judgment on latency, cost, and safety tradeoffs in real-world systems.

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SI

Suraj Iyer

Screened ReferencesModerate rec.

Junior Software Engineer specializing in AI and cloud-native full-stack systems

Mumbai, India3y exp
MerkleIndiana University Bloomington

Software engineer with 2 years of professional full-stack experience plus a CS master's journey in the US, who has since focused heavily on building hackathon-winning AI systems. Stands out for combining production-minded backend architecture, TypeScript-heavy reliability work, and multi-agent LLM applications spanning physical security and insurance claims automation.

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JH

Jaraad Hines

Screened ReferencesStrong rec.

Senior Product Lead & Product Engineer specializing in FinTech and AI platforms

New York, NY9y exp
Iron Key CapitalUniversity of Pennsylvania

Product engineer/designer with founder mindset who shipped a blockchain-enabled investor group/governance platform using Next.js (App Router), TypeScript, Prisma/Postgres, and Temporal. Emphasizes auth-centric onboarding (SSO + embedded wallet) to make dApp UX feel more like SaaS, and brings strong reliability practices (idempotent retries, reconciliation) plus experience demoing to investors and operating in seed-stage teams (ex-Vouched).

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Sandeep Gandhi - Executive technology leader specializing in FinTech, identity, and AI-native platforms in San Ramon, CA

Executive technology leader specializing in FinTech, identity, and AI-native platforms

San Ramon, CA26y exp
IDmissionKIT College of Engineering

Current CTO of Idmission leading a 150+ person engineering organization, with deep experience scaling delivery, CI/CD, and architecture modernization. Combines executive leadership with hands-on technical depth across microservices, Kubernetes, and AI systems, including a RAG support platform that reduced resolution time by 50% and passive liveness technology that improved client acquisition by 20%.

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Siva Pothuru - Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML in San Antonio, TX

Siva Pothuru

Screened

Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML

San Antonio, TX5y exp
USAAUniversity of Central Missouri

LLM/agent engineer at USAA who built a production GPT-4o RAG conversational assistant for financial analysts, focused on regulatory interpretation and internal documentation search. Emphasizes compliance-grade reliability with strict grounding, safe fallbacks, and full auditability via MLflow/DVC plus human-in-the-loop review; reports ~45% reduction in ticket resolution time.

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Rajasekhar Tungala - Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration in New York, United States

Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration

New York, United States4y exp
CVS HealthStevens Institute of Technology
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AN

Executive CTO specializing in SaaS platforms, AI systems, and enterprise architecture

United States12y exp
APHIDUniversity of Phoenix
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CR

Mid-level Machine Learning Engineer specializing in MLOps and production ML systems

TX, USA5y exp
CignaUniversity of North Texas
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AS

Senior Software Developer specializing in SaaS, AWS, and API-driven platforms

Remote9y exp
Omen TechnologiesNortheastern University
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SM

Mid-level Data Scientist specializing in ML and Generative AI (LLMs, NLP, Computer Vision)

FL, USA6y exp
Spirit AirlinesColorado State University
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SL

Mid-level AI/ML Engineer specializing in generative AI and MLOps

Remote, USA5y exp
MizuhoAuburn University at Montgomery
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VR

Mid-level AI/ML Engineer specializing in cloud MLOps and scalable model deployment

Detroit, MI6y exp
Ally BankIndiana Wesleyan University
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JM

Senior Engineering Leader specializing in SaaS platform modernization and scaling teams

Pittsburgh, PA20y exp
FlyreelIndiana University of Pennsylvania
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LM

Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision

Austin, TX6y exp
ArtisightUniversity of Northern Colorado
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JM

Mid-level Machine Learning Engineer specializing in Generative AI and MLOps

USA4y exp
Piper SandlerNortheastern University
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AS

Mid-level AI/ML Engineer specializing in Generative AI and MLOps

USA4y exp
Northern TrustSyracuse University
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SS

Senior GenAI Engineer specializing in LLM agents and insurance automation

West Bend, WI5y exp
CoforgeTexas A&M University
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MR

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices

Chandler, AZ4y exp
University Design InstituteArizona State University
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SP

Mid-level AI Engineer specializing in NLP, computer vision, and MLOps

Birmingham, AL4y exp
FTI ConsultingUniversity of Alabama at Birmingham
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AH

Alex Hovakimyan

Screened ReferencesModerate rec.

Junior Robotics & Computer Vision Engineer specializing in ROS and perception

Mountain View, CA2y exp
ToborlifeSan José State University

University Rover Competition autonomous-systems lead who architects and debugs a full ROS 2 autonomy stack (Nav2, vSLAM, EKF fusion) and backs it with strong engineering hygiene (Docker + GitHub Actions CI running headless Gazebo and colcon tests). Also has industry-facing ROS 2 hardware integration experience, building a ros2_control plugin for a Unitree G1 arm using CycloneDDS and optimizing real-time behavior via QoS tuning.

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ND

Nimsy Duddu

Screened ReferencesModerate rec.

Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud MLOps

Hartford, CT4y exp
The HartfordTrine University

Backend engineer with insurance/claims domain experience who modernized legacy claims processing systems to support AI-assisted claim review. Emphasizes production-ready API design in Python/FastAPI (schemas, async, caching, graceful degradation), strong observability with Prometheus, and layered security including JWT auth plus database row-level security (Supabase/Postgres).

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SN

Junior Robotics Engineer specializing in perception, SLAM, and reinforcement learning

Worcester, MA2y exp
Worcester Polytechnic InstituteWorcester Polytechnic Institute

Robotics software engineer with hands-on ROS 2 experience across drones, mobile robots, and manipulators. Built an end-to-end visual SLAM + navigation stack on a real robot using RTAB-Map, and implemented ROS 2-based coordination between a mobile robot and manipulator for camera-triggered object pickup. Optimizes real-time behavior by moving performance-critical code to C++ and deploying TensorRT-compressed models.

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MJ

Meet Jain

Screened

Mid-level Autonomous Robotics Engineer specializing in ROS2, SLAM, and perception

Boston, MA, USA3y exp
Northeastern UniversityNortheastern University

Robotics software engineer with deep ROS2 experience who built a modular autonomous robotics stack (perception/sensor fusion, localization+mapping, and planning). Led development of a LiDAR+camera fusion and multi-object tracking pipeline (PCL + YOLO + Kalman filtering) and debugged real-time SLAM/localization issues via QoS/timestamp synchronization, EKF tuning, and SLAM Toolbox parameter optimization using Gazebo/RViz and rosbag replay.

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OT

Intern AI/Data Scientist specializing in LLMs, RAG, and MLOps

Maryland, USA2y exp
University of MarylandUniversity of Maryland, College Park

Internship project at Builder Market: built an end-to-end production multimodal LLM application that estimates renovation/replacement costs from appliance photos (CLIP embeddings) or text descriptions, combining fine-tuning with agentic RAG. Focused heavily on real-world performance constraints—latency and cost—using parallel agent workflows, model routing to smaller/open-source models, re-ranking, and retrieval chunking, and collaborated closely with CEO/co-founders to deliver the solution.

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