Vetted Computer Vision Professionals

Pre-screened and vetted.

Sriveda Chintapalli - Junior Software Engineer specializing in AI and full-stack development in Tempe, AZ

Junior Software Engineer specializing in AI and full-stack development

Tempe, AZ2y exp
Arizona State UniversityArizona State University
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NB

Software Engineer specializing in cloud-native backend systems and AI/ML

Chicago, IL6y exp
PixquidCalifornia State University, Dominguez Hills
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MA

Junior Software Engineer specializing in Django, data processing, and machine learning

Boston, MA2y exp
Apoth DevelopmentMethodist University
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AC

Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision

Kansas City, MO4y exp
CyrvanaUniversity of Missouri
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KN

Entry-Level Software Developer specializing in backend systems and robotics middleware

Hyderabad, India1y exp
AccelQSouthern Arkansas University
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KR

Junior Machine Learning Engineer specializing in LLMs and multimodal AI

Indiana, USA2y exp
Indiana University BloomingtonIndiana University Bloomington
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MA

Mid-level GenAI Engineer specializing in AI agents and FinTech platforms

New York City, NY5y exp
Quiet Mountain ConsultingAir University
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HN

Junior Software Engineer specializing in computer vision and LLM-powered systems

2y exp
FaybleUniversity of Texas at Arlington
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AP

Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation

Toronto, Canada4y exp
AART ConsultingLoyalist College
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SS

Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision

San Jose, California5y exp
Ecosmob TechnologiesC-DAC ACTS Pune
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PB

Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems

Los Angeles, CA1y exp
Our National ConversationCal State LA
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SS

Junior Software Engineer specializing in data analytics and machine learning

Atlanta, GA3y exp
MetaxurX Technologies LLCGannon University
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OS

Mid-level Software Engineer specializing in Python automation and GenAI on AWS

Dublin, OH4y exp
Columbus Technology SolutionsUniversity of Texas at Arlington
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RG

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

Austin, TX5y exp
Royal Monarch Solutions LLCUniversity of the Pacific
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AR

Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research

Islamabad, Pakistan5y exp
AI-Explain You ScienceAir University, Islamabad
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AV

Intern Software Engineer specializing in backend, AI, and full-stack web systems

San Ramon, CA0y exp
Antela.aiCalifornia State University, East Bay
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HI

Haeshitha Indukuri

Screened ReferencesStrong rec.

Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps

Denton, TX1y exp
University of North TexasUniversity of North Texas

Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).

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AP

Aniket Patel

Screened

Junior AI/ML Engineer specializing in full-stack AI systems

Ashland, OH2y exp
Ashland UniversityAshland University

Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.

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LE

Lance Eisele

Screened

Entry-level Game Developer specializing in Unity, Unreal/UEFN, and 3D systems

Utica, NY0y exp
BlenderSUNY Polytechnic Institute

Gameplay programmer with UE5 Blueprint-focused experience who independently shipped a multiplayer stealable XP/level progression system (including disconnect/anti-exploit handling and team-based data flow). Prototypes mechanics in Unity before recreating in Unreal, and has hands-on vehicle simulation work with a strong emphasis on modular architecture and performance-conscious UI update patterns.

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