Open to opportunities

Richard Abishai

@richardabishai

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AI research engineer specializing in multimodal learning and reproducible ML.

India

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What I'm looking for

I seek research-focused roles building reproducible multimodal ML systems, with collaborative teams, mentorship opportunities, and clear paths to publish and deploy impactful research.

I am an AI research engineer working at the intersection of computer vision and large language models, with hands-on experience in dataset curation, evaluation design, and reproducible experimentation using PyTorch and HuggingFace. I have led applied research in remote sensing, biomedical NLP, machine unlearning, and sports analytics, producing open-source implementations and manuscripts in preparation while achieving strong empirical results against established baselines.

I build end-to-end research pipelines and tooling—data curation, training and evaluation, and deployment—while integrating MLOps practices such as Docker, FastAPI, and automated reproducible workflows. I have contributed to modular agentic LLM systems, fine-tuned LLaMA-based conversational models, and delivered high-impact intern and exchange research projects with measurable improvements and peer-reviewed submissions in progress.

Experience

Work history, roles, and key accomplishments

Current

Research Student

Current

University of Malaya

Jan 2026 - Present (5 months)

Conducting multimodal research combining computer vision and LLMs for sports talent acquisition, curating and annotating a sports image dataset and preparing a manuscript for peer review.

Multimodal Learning Computer Vision LLM Cross Modal Retrieval PyTorch

AI Research Intern

ISRO

Sep 2025 - Oct 2025 (1 month)

Led applied research on satellite image super-resolution, upgrading Sentinel-2 imagery to PlanetScope-level fidelity and achieving ≥60 dB PSNR, ≥0.98 SSIM, ≤0.05 LPIPS, and ≤2° SAM versus ESRGAN/SR3 baselines.

PyTorch Remote Sensing Data Curation Experiment Design Docker Image Processing

ML Research Intern

Indian Institute of Technology (IIT Madras)

Mar 2025 - Oct 2025 (7 months)

Conducted research on small language models for the medical domain, implementing reproducible PyTorch/HuggingFace training and evaluation pipelines and achieving a +4 F1 improvement over naïve baselines.

PyTorch SLMs Benchmarking Python

AI Researcher

Institute of Aeronautical Engineering

Jul 2025 - Sep 2025 (2 months)

Led research on machine unlearning and remote sensing, developing Adaptive SISA-Distill, achieving 98.7% MNIST accuracy and improving land-use segmentation accuracy by ~40%.

Machine Unlearning Model Evaluation Remote Sensing Python Experimentation Ablation Studies

Education

Degrees, certifications, and relevant coursework

Institute of Aeronautical Engineering

Bachelor of Technology, Computer Science and Engineering (AIML)

Grade: CGPA: 8.5

Activities and societies: Research on multimodal learning, dataset curation, manuscript preparation, President — Student Council of IARE, Mentor — Rhapsody Music Club

Pursuing B.Tech in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning; expected graduation in 2026 with notable research and project experience in multimodal learning and dataset curation.

University of Malaya

Research Exchange, Computer Vision / Multimodal Learning

2026 -

Activities and societies: On-site research, manuscript preparation, advisor: Dr. Hoo Wai Lam

Exchange research student conducting multimodal computer vision and LLM research for sports talent acquisition and scouting analytics; preparing a manuscript under advisor supervision.