About me

From AI-powered agentic pipelines to benchmark studies on medical language models, I love solving real-world problems with deep tech and thoughtful design. My work spans academic research, industry deployments, and open-source contributions, with experience under institutions like IIT Madras, ISRO, and EY.

I specialize in building intelligent systems—spanning super-resolution for geospatial imagery, LLM-based assistants, and agentic workflows. I'm currently leading multiple research projects in machine unlearning and biomedical NLP, while also contributing to open-source and product initiatives.

Beyond code and research, I serve as the President of the Student Council, lead our Music Club, and perform at intercollege competitions. Whether it’s writing, mentoring, or podcasting about the cosmos, I’m driven by curiosity and a desire to empower others through intelligent tools.

What i'm doing

  • Artificial Intelligence

    I build production AI—RAG, vision and agentic systems—optimized for accuracy, safety and low latency.

  • Web Design

    I craft fast, accessible web apps—clean UX, responsive UI and Core Web Vitals solidly in the green.

  • Research

    I turn questions into prototypes and papers—LLM evals, finetunes and multimodal reasoning that ship.

  • Business

    I turn ideas into sustainable ventures—strategy, monetization, and execution to ship products that grow.

Testimonials

  • Dr. Sanjan Gupta

    Dr. Sanjan Gupta

    Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

  • Dr. Anil Kumar

    Dr. Anil Kumar

    Richard completed his Advanced Remote Sensing and Image Analysis Internship at ISRO's Indian Institute of Remote Sensing. He developed a comprehensive image processing pipeline for super-resolution and enhancement of multi-spectral satellite imagery from Sentinel-2 and PlanetScope sensors, achieving significant improvements in image quality metrics while maintaining spectral integrity. We found him intelligent, independent, sincere, and hardworking throughout his internship period.

  • Dr. P Ashok Babu

    Dr. P Ashok Babu

    Richard has been an exceptional research collaborator, co-authoring multiple papers on machine unlearning and remote sensing. His work on adaptive SISA-Distill achieved 98.70% accuracy on MNIST, and his remote sensing classification pipeline delivered a 40% accuracy improvement. His rigorous methodology, attention to detail, and ability to translate complex research concepts into publishable results make him an invaluable research partner.

  • Dr. Sk. Jakeer Hussain

    Dr. Sk. Jakeer Hussain

    Richard demonstrates exceptional ability to transform cutting-edge research concepts into production-ready implementations. His work consistently bridges the gap between theoretical innovation and practical deployment, delivering solutions that are both academically rigorous and commercially viable. His technical depth, problem-solving skills, and commitment to excellence make him an outstanding collaborator for both research and industry projects.

By the numbers

  • 20+

    AI projects shipped

  • 10+

    Production apps

  • 5

    Teams led

  • 15

    Awards/Certifications

  • 100k+

    Lines of code written

Resume

Experience

  1. AI Intern — ISRO

    September 2025 — October 2025 · Remote

    • Led satellite super-resolution pipeline upgrading Sentinel-2 to PlanetScope fidelity (≥60 dB PSNR, ≥0.98 SSIM, ≤0.05 LPIPS, ≤2° SAM).
    • Built automated data curation for Sentinel-2/PlanetScope pairs with reprojection, co-registration, and spectral QA.
    • Engineered hybrid transformer/CNN model with mixed-precision training, beating ESRGAN/SR3/bicubic baselines.
    • Shipped CLI inference toolchain for GPU/CPU tiling inference with enhanced imagery export and documentation.

  2. ML Research Intern — ML Research Bootcamp (Medical SLMs)

    Mar 2025 — Present · Remote

    • Working on "SLMs for medical domain": literature survey, dataset curation, and model baselines; early +4 F1 over naïve.
    • Prototyping training/eval pipelines (PyTorch/HF); faster eval via caching; focusing on safety/robustness.
    • Drafting a research manuscript with Dr. Sanjan Gupta (Professor, IIT Madras); targeting conference submission.

  3. AI/ML Intern — CAS

    Jul 2025 — Sep 2025 · Remote

    • Automated grading: rubric parsing, LLM‑based scoring, and feedback; MAE within 0.5 vs TA scores.
    • Eval harness with gold sets and bias/consistency checks.
    • API + data pipeline integrated with existing tooling and dashboards.

    May 2024 — Dec 2024 · Remote

    • Built multi‑agent AI with LangFlow + RAG for task routing (+35% efficiency).
    • Developed LLM assistant with dynamic context switching (+25% accuracy).
    • Integrated AstraDB vector retrieval (−20% query latency).

  4. Researcher — Institute of Aeronautical Engineering

    Jan 2025 — May 2025

    • Authors: Dr. P. Ashok Babu [HoD of CSE(AIML), IARE]; M. Richard Abishai (3rd Year, CSE‑AIML).
    • Comparative study on MNIST of Full Retraining, Naïve Fine‑Tuning, SISA, and Adaptive SISA‑Distill; best accuracy: 98.70% (Adaptive SISA‑Distill).
    • Formalizes methods; 5 plots (loss/accuracy); ablation (Naïve vs Adaptive); survey of 22+ machine‑unlearning papers.

    Jun 2024 — Oct 2024

    • Authors: Dr. P. Ashok Babu [HoD of CSE(AIML), IARE]; M. Richard Abishai (3rd Year, CSE‑AIML).
    • Remote sensing image classification (+40% accuracy). Evaluated 5 ML models for land segmentation.
    • Co‑authored a forthcoming paper on agricultural classification and segmentation under my HoD.

  5. Artificial Intelligence (AI) Intern — Hooman Digital LLP

    Apr 2025 — Jun 2025 · Remote

    • Built an AI website builder end‑to‑end: prompt‑to‑site generation, component templating, and deployment pipeline.
    • Designed and fine‑tuned LLM/NLP components for layout/content synthesis; integrated tool‑use and retrieval.
    • Shipped a FastAPI service with containers and CI/CD; collaborated cross‑functionally and documented workflows.

  6. Contributor — Google Mesop (Open Source)

    2024 — Present · GitHub

    • Optimized tokenization and memory management (+35% encoding speed, −20% memory).
    • Improved data pipelines (−20% processing time). Merged multiple PRs consistently.

  7. Research & Product Development — Advantage Ecosystem

    Oct 2023 — May 2025 · Hyderabad, TS

    • Designed system architecture to improve scalability and reduce downtime by 20%.
    • Led product iterations (−15% development cycles). Collaborated with 5 designers/researchers.

  8. Advanced Data Analytics Intern — EY GDS

    Feb 2024 — Apr 2024 · Remote

    • Completed 6‑week intensive internship focused on predictive modeling and analytics at scale.
    • Analyzed/visualized 10k+ row datasets to improve insights; Python tooling (+15% efficiency).

  9. IoT and Robotics — IIT Hyderabad

    Dec 2023 · Hyderabad, TS

    • Maintained smart baby cradle with IoT sensors (95% uptime).
    • Built Express.js + React.js interface (+25% interactivity).

Education

  1. Institute of Aeronautical Engineering — B.Tech in CSE (AIML)

    Expected Graduation: 2026 · CGPA: 8.59

    Specialization in AI/ML, Deep Learning, and Data Science. Focus on AI research, innovative solutions, and ML system architecture.

  2. Certifications

    2023 — Present

    • CS50AI — Introduction to Artificial Intelligence (Harvard, 2024)
    • Data Analytics Essentials (Cisco, 2024)
    • AI and Emerging Technologies (IIT Hyderabad, 2024)
    • Machine Learning with Python-From Linear Models to Deep Learning (MIT, 2025)

  3. Volunteering & Leadership

    2023 — Present

    • Student Council — President (2025–2026): Chaired 40‑member council; Ensured proper student representation and event participation
    • Rhapsody (Music Club) — President (2024–2025): Led 28‑member club; Performed and won in 9+ Music Competitions
    • MLH Frost Hacks — Logistics Co‑Head (Jan 2024): Led 17‑member team for logistics and facilitation
    • Social Media Summit — Marketing Co‑Head (Jul 2023): Outreach; recruited 40+ participants
    • TEDx IARE — Entertainment Lead (Jan 2023): Managed and performed; oversaw entertainment

Technical Skills

Programming Languages

Python, C, MySQL, Java, C++, Solidity, Rust

AI/ML

PyTorch, TensorFlow, OpenCV, Scikit-learn, R

Web Dev & Frameworks

HTML, CSS, Bootstrap, JS, TS, React, Next.js, Node.js, Express, FastAPI, Flask, Django, Redis, Tailwind, GraphQL, Prisma, Firebase

Cloud, Infra & Databases

AWS, Vercel, Cloudflare, Nginx, Kubernetes, Terraform, GitHub Actions, Postgres, MySQL, SQLite, Redis, MongoDB, Elasticsearch, Meilisearch

DevOps, Tools & QA

Docker, Git, GitHub, Vim, Vite, Postman, Notion, Discord, Airflow, dbt, Kafka, Spark, Prometheus, Grafana, Sentry, Jest, Vitest, Playwright, Cypress, Pytest, ESLint, Prettier, OpenAPI

Portfolio

Gallery

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