Vetted Research Assistants

Pre-screened and vetted.

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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YM

Junior Software Engineer specializing in backend systems and RAG AI

Norman, OK2y exp
University of OklahomaUniversity of Oklahoma
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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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AM

Junior Embedded Firmware Engineer specializing in IoT, RF systems, and robotics

Riverside, CA3y exp
Cal Poly PomonaCal Poly Pomona
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AK

Junior AI Engineer specializing in LLM systems and RAG

San Francisco, CA2y exp
Liebre.aiFlorida State University
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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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MR

Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI

Indianapolis, IN4y exp
Indiana University IndianapolisIndiana University Indianapolis

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.

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BB

Entry-level Software Engineer specializing in backend and full-stack systems

Tampa, FL1y exp
University of South FloridaUniversity of South Florida

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.

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MA

Mounika Allu

Screened

Junior Full-Stack Engineer specializing in web applications and AI-assisted workflows

Norfolk, VA2y exp
Old Dominion UniversityOld Dominion University

Frontend-focused candidate with hands-on experience building a technically demanding AI-assisted survey/copilot interface at VSorts.ai while working as a research assistant at ODU. They show strong practical judgment around React architecture, TypeScript safety, and performance tuning, including diagnosing context-driven re-render issues and improving UX in real-time interactive applications.

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VK

Entry-level Full-Stack Software Engineer specializing in web and data systems

California, USA1y exp
California State University – Los AngelesCal State LA

Full-stack engineer with strong TypeScript/Firebase and MongoDB depth who has built research and student-scale systems end-to-end, including GCP data pipelines and Dockerized microservices. Particularly interesting for stepping beyond a frontend remit to build NLP models with NLTK that are actively used in an academic research project's Phase 2, showing initiative and real downstream impact.

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AY

Alan Yuan

Screened

Junior Full-Stack Software Engineer specializing in AI and data visualization

Manhattan, NY2y exp
New York Institute of TechnologyNew York Institute of Technology

Research-background candidate who built and maintained a browser-based lab website showcasing publications, projects, and member profiles. They have hands-on experience migrating from local JSON/image storage to a Supabase-backed architecture, with a strong focus on frontend performance, caching, and monitoring using Chrome DevTools and Vercel.

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Jithin Mathew - Mid-level Robotics & Embedded Systems Research Engineer specializing in edge AI for precision agriculture in Fargo, ND

Jithin Mathew

Screened

Mid-level Robotics & Embedded Systems Research Engineer specializing in edge AI for precision agriculture

Fargo, ND5y exp
North Dakota State UniversityNorth Dakota State University

Robotics lead engineer (PhD/agriculture research context) who built and iterated a three-unit, wirelessly coordinated greenhouse data-collection robot—solving real-world alignment and comms reliability issues by redesigning the rail/gear system and moving from RF to ESP Wi-Fi with MAC-addressed control. Strong embedded C/C++ background with full-stack robot control implemented from scratch; beginning exposure to ROS 2 via an upcoming field deployment.

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Hitha Sunkara - Junior Full-Stack Developer specializing in web apps and machine learning in Long Beach, CA

Hitha Sunkara

Screened

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

Long Beach, CA3y exp
California State University, Long BeachCalifornia State University, Long Beach

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.

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RB

Ryan Bedran

Screened

Mid-level AI Solutions Consultant specializing in enterprise and government AI delivery

Florida, USA4y exp
MagnoosLebanese American University

Analytics and automation candidate with experience delivering data and AI solutions for major public-sector and enterprise clients including STC, Abu Dhabi Ports, and the Ministry of Culture. They combine SQL, Python OCR pipelines, dashboards, and cloud LLMs to turn messy unstructured data into scalable workflows, with reported impact including 70% faster document processing and 80-85% reduction in manual resume screening.

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AP

Intern Full-Stack & ML Engineer specializing in AI-enabled web and mobile apps

1y exp
Gao TekKent State University
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LP

Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes

San Antonio, TX3y exp
FacilityForceCalifornia State University, Dominguez Hills
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AD

Mid-level Robotics Software Engineer specializing in ROS 2 navigation and motion planning

Los Angeles, CA4y exp
California State University, NorthridgeCalifornia State University, Northridge
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CM

Mid-level Research Assistant specializing in interpretable ML and AI evaluation

Dartmouth, MA6y exp
University of Massachusetts DartmouthUniversity of Massachusetts Dartmouth
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MR

Mid-level Production Assistant and Game Studies student with research and social media experience

Newark, DE4y exp
Cutoutme LLCUniversity of Delaware
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AD

Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference

Charlotte, NC2y exp
AksharaPlusUniversity of North Carolina at Charlotte
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JG

Junior Software Engineer specializing in AI/ML, data pipelines, and real-time dashboards

Los Angeles, CA2y exp
Direct A/VCalifornia State University, Fullerton
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BM

Junior Full-Stack Software Engineer specializing in cloud-native microservices and data pipelines

1y exp
Saayam for AllCalifornia State University, San Bernardino
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