Based in London. I turn messy data, research ideas, and business questions into systems people can actually use, from computer vision models to end-to-end analytics work.
About
My path into data was not linear. I began in mechanical engineering, discovered computer engineering through a minor, and ended up fully invested in the idea that data can explain, predict, and improve real systems.
Since then, I have worked across computer vision, business intelligence, SQL analytics, dashboarding, and applied machine learning. What matters most to me is not only model accuracy, but whether the final output is understandable, reliable, and genuinely helpful to the person using it.
Experience
Jun 2026 – Present
Virtusa UK
Architected a multi-user LangGraph research agent that nearly 4x'd recall@10 via citation-partitioned reranking, co-built a stateful platform tracking official LLM-provider announcements, and built a chat agent giving impact-scored, pattern-reuse insight across a 500+ pipeline life-sciences data estate.
Sep 2025 – Jun 2026
Yabasa Platform
Designed the data architecture for a live peer-to-peer review platform (MySQL, MongoDB, Redis), built automated validation pipelines for schema integrity, and supported the early product launch to 200+ active users.
Mar 2025 – Aug 2025
Pollinatework · Sensibee (DEFRA-Regulated)
Built and deployed YOLOv11-based ecological monitoring models from unstructured IoT field-camera and sensor data, automated the git pipelines behind them, and cleaned 10,000+ GDPR-compliant records.
May 2023 – Dec 2023
Netsoft Technologies
Built a chronic kidney disease diagnostic classifier, running EDA to catch imbalance and quality issues and lifting model performance from 95 to 98 percent using SMOTE and feature refinement.
Jan 2023 – Jul 2023
Rajarambapu Institute of Technology
Developed C-based numerical methods for hydrogen storage reactor heat-transfer analysis, combining engineering modelling with computational experimentation.
Education
2024 – 2025
Kingston University, London
Graduated with Distinction, with a focus on machine learning, NLP, analytics, and cloud tooling.
2019 – 2023
Shivaji University · Minor in Computer Engineering
Built a technical bridge between engineering systems, programming, and applied analytics.
Projects
Multi-user LangGraph research workspace that searches, ranks, and synthesises academic literature into cited reports, with RAGAS-benchmarked retrieval and red-teamed guardrails.
Stateful LangGraph agent that ingests, versions, and digests official AI-provider announcements, with automated CI quality gates and human-in-the-loop validation.
Chat-based agent giving operational insight across 500+ life-sciences data pipelines, with dependency/blast-radius risk scoring and reusable-pattern detection.
Dissertation work turned into a public web app with Docker, AWS EC2 deployment, model switching, and a live prediction interface — 98.99% accuracy on field data.
SQL-first operational analytics project focused on rider behaviour, station flow, rebalancing issues, and membership conversion opportunities.
A funnel conversion study across acquisition channels, drop-off stages, conversion timing, and revenue impact using BigQuery and Tableau Public.
Python and Power BI analysis of permit processing data to surface refusal hotspots, determination delays, and operational bottlenecks across three years.
DEFRA-regulated ecological monitoring contract with Pollinatework, using YOLOv11 for real-time, high-precision insect detection in the field.
A retrieval-based document assistant built for conversational interaction with PDF content using vector search and LLM orchestration.
Certifications
Amazon Web Services
Validated foundations in responsible AI, ML concepts, and AWS AI services.
Amazon Web Services
Built a strong cloud baseline across architecture, pricing, security, and operations.
Data Visualisation
Interactive dashboard design, storytelling, filtering logic, and presentation-ready visuals.
Business Intelligence
Hands-on dashboarding, DAX-based metrics, drill-through reporting, and executive summaries.
DeepLearning.AI
Deepened practical understanding of modern computer vision architectures and transfer learning.
Kingston University
Recognition for standout postgraduate project work in machine learning and applied research.