AI Engineer with an MSc in Data Science & AI from the University of Liverpool. I specialise in building and evaluating production-grade Generative AI systems — RAG pipelines, LLM alignment, and RLHF-based quality frameworks. I've shipped systems that measurably move the needle on accuracy, consistency, and reliability.
3+ Years in AI/ML | 18% Dataset accuracy improvement (RAG auditing)
14+ Multilingual LLM projects | 27% Output consistency boost via QA frameworks
100% Guideline compliance | 36% Product engagement lift from data insights
| Project | Stack | Link |
|---|---|---|
| YouTube Agentic AI Studio · 100% free AI pipeline that researches, scripts, narrates, animates, and auto-uploads faceless YouTube videos — one command, zero cost per video | Python Gemini Edge TTS Pexels API LangChain YouTube API |
→ Repo |
| TriviaFlux · AI-powered Trivia Game with Genkit-generated questions, real-time leaderboards, and a full Android APK release | Next.js 15 TypeScript Firebase Google Genkit Tailwind CSS |
→ Repo · ⬇ APK |
| Titanic Survival Predictor · Interactive ML explainability dashboard — XGBoost + SHAP + Streamlit with survival prediction, passenger search, fairness audit, and model insights | Python XGBoost SHAP Streamlit Plotly |
→ Repo · 🚀 Live |
Languages
Python (Advanced) SQL R
ML / Deep Learning
PyTorch TensorFlow Scikit-learn Hugging Face LangChain LlamaIndex RLHF
Generative AI
OpenAI API Azure AI RAG Pipelines Prompt Engineering LLM Evaluation AI Agents Vector Databases
Data & Tools
Power BI MLflow Git Jira Agile
Spoken Languages
English Hindi Marathi
| Certification | Issuer |
|---|---|
| Artificial Intelligence Professional | DIAT, DRDO, Pune |
| Programming in Python | NIELIT, Haridwar |
Data Strategy & Quality Analyst (London, UK · Apr 2024 – Mar 2026)
- Audited RAG-based NLP and Generative AI systems, reducing hallucinations and improving dataset accuracy by 18%
- Served as Data Controller across 14+ multilingual LLM training projects, ensuring 100% compliance with safety & alignment guidelines
- Built Power BI QA tracking frameworks → 27% consistency improvement across Agile sprints
- Led a team of 4 reviewers evaluating prompt-response pairs and RLHF datasets at scale
Junior Data Scientist (Bengaluru, India · Feb 2021 – Jan 2022)
- Deployed Python ML models for predictive maintenance → 15% reduction in downtime
- Built customer segmentation models (K-Means, DBSCAN) → 27% increase in conversion rates
- Analysed user behaviour datasets → 36% lift in product engagement
MSc Data Science & Artificial Intelligence · University of Liverpool, UK · 2023
Modules: Machine Learning · Data Mining & Visualization · Applied AI · Bio-inspired Optimization
BE Electronics & Telecommunication · G.H. Raisoni Academy of Engineering & Technology · 2021
Modules: Digital Signal Processing · Embedded Systems & Edge AI · Control Systems
"The best AI system is one that knows what it doesn't know."