Grounded by Design 2026
Latest project details coming soon.
About
Agentic AI · Foundation Models · NLP · Efficient ML · Large-Scale Data Analytics
I build trustworthy AI for healthcare and science: conversational agents, clinical NLP, evaluation & safety, and foundation models — with interests in efficient ML, large‑scale data analytics, and high‑performance computing.
What I Do
- Build AI-driven systems for healthcare products and research
- Work on agentic AI, foundation models, NLP, efficient ML, and large-scale data analytics
- Research in mental health; selected work in computational genomics and high-performance computing
Tech Stack
Languages
Python, SQL, C/C++, Java, MATLAB
ML & Data
PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Scanpy, scvi-tools, UMAP, OpenAI APIs
Web & Tools
FastAPI, Docker, PostgreSQL, Node.js, React, LangChain, LangGraph, Git, LaTeX, CUDA
Hardware & Embedded
STM32, ESP32, Arduino, Raspberry Pi; I2C/SPI; PID control; ADC & analog circuit design
Featured Projects
AI Agent for Literature Review (LitAgent) 2025
LangGraph-driven multi-agent system automating literature reviews across arXiv and PubMed, with metadata enrichment from Crossref. Integrated agents (SearchAgent, SummarizerAgent, CriticAgent, ComparatorAgent) enabling structured synthesis, gap analysis, and future work identification. Supports multiple output formats (Markdown, JSON, CSV) with CLI and REST API access, plus a React/Vite/Tailwind frontend.
Enhancing Aspect-Based Sentiment Analysis with BERT 2025
Improved BERT for Aspect Extraction, Sentiment Classification, and Review Comprehension. Combined adversarial training with P-SUM/H-SUM, surpassing prior state-of-the-art in domain-specific NLP. Demonstrated efficiency of fine-tuned BERT over LLMs for targeted, low-resource tasks. Pre-print submission targeted for November 2025.
Zero-Shot Cell Annotation with Foundation Models 2025
Implemented zero-shot pipelines for single-cell RNA-seq analysis, enabling malignant vs. normal classification and multi-class cell state prediction across ovarian, prostate, kidney, and pancreas cancer datasets. Built preprocessing workflows and integrated evaluation with Accuracy, F1, AUROC, and AUPRC metrics. Developed visualization tools (UMAP, performance plots) to assess model generalisation and batch effects.
AI College Assistance App 2025
Built an AI-powered counselling platform to support students applying abroad (UK, US, Australia). Implemented essay feedback using GPT-4, application timelines, portfolio builder, and AI chatbot for personalised guidance. Full-stack development with React (TypeScript), FastAPI (Python), PostgreSQL, Firebase, and OpenAI API.
Eva - Empathetic AI Assistant 2025
Developed an AI-driven emotional support app featuring a built-in chatbot designed to help users explore their thoughts, with additional features such as breathing exercises, a crisis helpline, and customizable themes. Currently in development, this open-source project aims to provide accessible mental health support.
Python Simplified 2020
Authored a book on Python Programming, distributed over 30,000 copies to uplift underprivileged students.
Experience
UCL Centre for Artificial Intelligence – Agentic AI Researcher
October 2025 - Present (in collaboration with Freedom from Torture)
- Prototyping multilingual mental‑health conversational agents using LLMs and agentic AI frameworks (LangGraph, CrewAI).
- Partnering with Freedom from Torture to ensure trauma‑informed, culturally sensitive design and deployment.
- Collaborating with clinical researchers to embed evidence‑based therapeutic strategies into AI systems.
- Developing synthetic clinician‑patient dialogue datasets for training and evaluation.
- Architecting safe, interpretable agentic workflows for reasoning and planning in sensitive contexts.
- Integrating and testing LLM services (ChatGPT, Claude, Llama, Groq, AWS Bedrock) within cloud pipelines.
Secrier Lab, UCL Genetics Institute – AI & Genomics Researcher
March - September 2025
- Built scalable ML pipelines (PyTorch, scvi-tools, Scanpy) analysing millions of single‑cell RNA‑seq datapoints across cancer types.
- Benchmarked foundation models (scBERT, scGPT, Geneformer, LangCell) for classification and state prediction with strong Accuracy, F1, AUROC, AUPRC.
- Developed zero‑shot annotation techniques and improved cross‑dataset generalisation under batch effects using UMAP.
- Produced actionable insights with a reproducible framework; pre‑print planned for 2026.
Open-Source Assistive Devices (OPAD) - President
University of Nottingham, September 2022 - July 2024
- Directed 12+ student-led projects developing assistive and medical devices, combining hardware, software, and data pipelines.
- Applied machine learning to optimise device performance and automate data collection, with applications aligned to NHS needs.
- Oversaw technical operations (circuit design, embedded systems, analytics) while coordinating cross-disciplinary student teams.
- Secured £1500 in grant funding to expand development and support community-focused engineering impact.
40seconds.org (Ratneshwaran Foundation) - Founder & CEO
Non-profit, January 2020 - 2023 (Currently in Hiatus)
- Founded global non-profit promoting mental health awareness and human rights among youth.
- Directed 5+ initiatives, 30+ articles, 1 research project, and led 120+ volunteers across 19 countries.
- Raised £2000 for Covid-19 relief; currently sustained by core team during academic commitments.
Honours
- Vice-Chancellor’s Medal (Top 0.1%), University of Nottingham – Highest award for exceptional contributions as author, philanthropist, and student leader (2024)
- EEE Undergraduate Studies Award, University of Nottingham – Academic and departmental contributions (2024)
- Nottingham Advantage Awards, University of Nottingham – Student Leader (2024); OPAD & Peer Mentor (2023)
- Union Prize & Student Representative of the Year, University of Nottingham (2022)
- Top 6 Teen Heroes, India – National recognition for social impact and leadership (2021)
- Speaker invitations – World Summit AI, TEDx, and university conferences on AI and healthcare innovation
CV & Highlights
Education
- University College London (UCL) – MSc Artificial Intelligence for Biomedicine and Healthcare (2024 - Present)
Predicted Grade: Distinction - The University of Nottingham – BEng (Hons) Electronic and Computer Engineering (2021 - 2024)
Highlights
- Agentic AI, Foundation Models, NLP, Efficient ML, Large-Scale Data Analytics
- Healthcare AI: clinical NLP, conversational agents, evaluation & safety
- Experience: PyTorch, TensorFlow, Scanpy, scvi-tools, FastAPI, React, LangChain/LangGraph
- Open-source contributor; reproducible workflows and benchmarking