MSAI candidate at Nanyang Technological University, Singapore.
Former Responsible AI Senior Analyst at Accenture.
Quick view of focus areas and outcomes
Focus
End-to-end GenAI solutions with safety evaluation
Industry Work
Modernized risk reviews and built quantitative metrics
Research
Numerical validation for financial summaries
Delivery
LLM apps from data to deployment
AI/ML specialist building reliable, scalable systems
AI/ML engineer focused on trustworthy systems and production-ready delivery. I translate research into workflows teams can adopt.
LLM fine-tuning, retrieval-augmented generation, and evaluation pipelines. Focused on Responsible AI and safety for high-stakes domains.
Collaborations and roles where reliability, governance, and measurable impact are core product requirements.
Professional roles and leadership
Building AI features for a smart logistics platform, applying ML workflows for product experimentation and deployment.
Participated in venture capital education and investment processes, supporting due diligence and early stage founders.
Research contributions
Research contribution that validates numerical accuracy in financial summaries through automated checks and transformer-based reasoning.
Innovation across AI/ML
Built a platform focused on better discovery and engagement for local services. Designed for fast navigation and clear calls to action.
Outcome: Public launch with live site experience.
Engineered a sentiment analysis engine using key-phrase extraction and intelligent source filtering. Built a high-performance backend with Python and FastAPI, leveraging Groq LPU for real-time analysis.
Outcome: Near real-time insight delivery for stakeholder dashboards.
Built a pipeline that extracts market news and social signals to score sentiment around equities and track directional shifts.
Outcome: Faster sentiment snapshots for market context.
Trained and fine-tuned transformer models for GenAI toxic/bias data detection. Developed advanced algorithms to identify and mitigate harmful content in AI-generated outputs.
Outcome: Improved harmful content detection for model safety reviews.
Performed data extraction using OCR techniques. Implemented a semantic search algorithm for relevant data identification. Used dynamic prompting and summarization with GPT-3.5 Turbo.
Outcome: Faster multi-document lookup for business analysts.
Trained deep learning vision models for vehicle manufacturing defect detection. Implemented computer vision algorithms to automatically identify manufacturing defects.
Outcome: Increased quality assurance throughput on the line.
Academic foundation and focus areas
Nanyang Technological University, Singapore
Advanced coursework in LLMs, trustworthy AI, and applied research.
Vellore Institute of Technology
CGPA 8.22/10. Special Achiever's Award 2020-21.
Accenture
Accenture
Accenture
Harvard College Project for Asian and International Relations
VIT University
Global Tech Innovation
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Open to AI/ML research and product roles starting in 2026.