About Me

Oxford, UK

0+ Years Experience

I specialise in designing intelligent, secure, and scalable systems that enable organisations to make informed decisions and optimise operational efficiency. My expertise lies at the intersection of artificial intelligence, automation, and cloud infrastructure.

My work centres on developing sophisticated Retrieval-Augmented Generation (RAG) systems, adaptive threat-detection models, enterprise-grade NLP APIs, and resilient system architectures. I bridge cutting-edge AI innovation with principled engineering practices, ensuring solutions are reliable and maintainable.

Achievements

UK Government Turing Scholarship

Awarded for academic excellence

TCS On the Spot Award

Exceptional Project Delivery & Technical Innovation

TCS Xcelerate Warrior Award

Outstanding Leadership

The Journey

eClerx

Analyst → Data Compliance & Automation2 years

Data Collection

Validation

Compliance Check

Reporting

Built reporting automation pipelines using SQL and VBA, streamlined data validation workflows, and enhanced operational efficiency through process automation at eClerx.

Acloudzyn & TCS

Software Engineer → Full-Stack3.5 years

Acloudzyn Technologies

Enterprise Web Application Development

UI/UX Design

Frontend Dev

API Architecture

Auth & Security

Built responsive UI/UX with React and Figma, developed secure OAuth2 authentication and 24 RESTful APIs using Django REST and SQLAlchemy ORM for enterprise web applications.

Tata Consultancy Services

System Modernisation & Performance Tuning

Code Audit

Python Migration

DB Optimisation

ETL Automation

Monitoring

Overhauled the entire backend codebase with a Python version migration, reducing API latency by 32% through database schema optimisation and server tuning. Automated ETL pipelines with Talend and Python saving 120 hours/quarter, and implemented performance monitoring with Dynatrace.

Oxford Brookes University

Research → Applied ML & Security6 months

Data Ingestion

Feature Engineering

Model Training

Threat Detection

Developed ML-based URL threat detection achieving 97.8% accuracy. Optimised data ingestion pipelines reducing processing time by 35%, and implemented adaptive learning mechanisms improving system resilience by 23%.

Independent & Premedgo

AI Engineer → RAG & Multi-Agent Systems1.5+ years

Document Processing

Embedding

RAG Retrieval

LLM Orchestration

Architecting hybrid RAG systems with sub-500ms query response times, multi-agent LLM orchestration handling 900+ categorised records, and model governance layers with confidence scoring. Built production pipelines achieving 93%+ accuracy and 99%+ document extraction success.

Education

M.Sc. Advanced Computer Science

Oxford Brookes University

Sept 2023 – Nov 2024

Oxford, United Kingdom

B.Tech. Automobile Engineering

Rajarambapu Institute of Technology

Jun 2013 – Jun 2018

Kolhapur, India

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