PhD in Physics | CityU Hong Kong and HKUST | IIT-Bombay
🚀 Researcher and data scientist (M.Tech, Ph.D. in Physics) with expertise in Statistics, Machine Learning, Deep Learning, Time-Series, NLP, RL, Generative AI, LLM & Multimodels.
- Passionate about building End-to-End (MLOPS, LLMOPS, & RL) systems and AI Research.
- Key Words: Domain Specific, Optimization, Fine-Tune, On-Prime, Ollama, OpenWeb UI, Streamlit, vLLM model serve
🌐 Connect With Me
🛠 Languages,AI/ML,& MLOps Tools
💻 Languages
🤖 AI, RAG & LLMs
⚙️ MLOps Tools
🤖 Machine Learning & Deep Learning
☁️ Cloud & AI Platforms
📊 Analytics & Visualization
🗄 Databases & 🌐 Backend Web Apps UI Frameworks
- Base decoder fundation model: End to end layers development for GPT-2 Architecture Design
- Created Datasets & DataLoaders (tokenization + padding)
- Replace LM head with classification head & Evaluate on full datasets and inference tested
- Base encoder-decoder fundation model FLANT-T5(247M)
- Achieved full fine-tune (~42% ROUGE‑1), via LoRA Optimization (41.8% ROUGE‑1) with 94% parameter efficiency
- Acheived 94% parameter efficiency and Deployed Streamlit.app for inference.
Project-3: Tiny_small_llm_text generation (22M)
- Transfer knowledge from a large "teacher" Qwen2.5-7B-Instruct model to a smaller "student" Qwen2.5-1.5B-Instruct model
- Achieving comparable performance with significantly reduced computational requirements
- On-Prime, Ollama, OpenWeb UI, Streamlit, vLLM model serve
Project-6: QLoRA (SML) Optimization for Financial Risk Summarization, Earnings Calls and SEC Filings
- Project-8: END to End / Multimodel RAG with OCR (In Progress)
- Project-9: END to END / Production-Streaming MLOP System (In Progress)
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Generative AI with Large Language Models (LLMs) | DeepLearning.AI & Amazon Web Services | Coursera | February 2026 | 🔗 Certificate
Skills: Transformers · NLP · Reinforcement Learning · Prompt Engineering · Generative Model Architectures · Model Evaluation · PyTorch · PEFT · LoRA · RAG · Fine-tuning · LangChain · LangGraph · LangSmith · Generative AI -
End-to-End MLOps Bootcamp | Self-Directed Industry Pipeline | Python → Production Deployment | Udemy | April 2026 | 🔗 Certificate
Skills: Git/GitHub · Docker · MLflow · DVC · DagsHub · Apache Airflow/Astro · GitHub Actions CI/CD · ETL Pipelines · End-to-End ML/NLP Projects · AWS SageMaker · GenAI-Deployment · Grafana, · PostgreSQL, · Monitoring, Alerting, · Model Versioning, · Experiment Tracking, · Terraform,· Kubernetes, · FastAPI, · jenkins, · Streamlit -
Deep Learning by Stanford University & DeepLearning.AI | Coursera | January 2026 | 🔗 Certificate
Skills: Neural Networks(NN) · Convolutional Neural Networks (CNN) · Computer Vision (CV)· Recurrent Neural Networks(RNN) · LSTMs · Transformers · NLP · Reinforcement Learning -
Machine Learning by Stanford University & DeepLearning.AI | Coursera | Augest 2025 | 🔗 Certificate
Skills: Linear & Logistic Regression · Neural Networks · Recommender Systems · Reinforcement Learning -
Mathematics for Machine Learning by Imperial College London | Coursera | September 2025 | 🔗 Certificate
Skills: Linear Algebra · Multivariate Calculus · Dimensionality Reduction · Principal Component Analysis · Statistics · Derivatives · Advanced Mathematics · Machine Learning Algorithms -
Python 3 Programming Specialization by University of Michigan | Coursera | December 2025 | 🔗 Certificate
Skills: Debugging · Data Structures · Unit Testing · Image Analysis · Data Manipulation · Software Design · Object Oriented Programming (OOP) · Data Processing · Data Import/Export · File I/O · Web Scraping · REST API -
Applied Deep Learning using Python by NIT Kurukshetra | September 2025 | 🔗 Certificate
Skills: Neural Networks(NN) · Convolutional Neural Networks (CNN) · Computer Vision (CV)· Recurrent Neural Networks(RNN) · LSTMs · Transformers · NLP · Reinforcement Learning -
Microsoft Power BI Data Analyst | Udemy | December 2025 | 🔗 Certificate
Skills: Power BI · Power Query · Data Analysis Expressions (DAX) · Data Modeling · Interactive Dashboards -
AI-driven automation and Agentic AI workflows using n8n (Udemy, Mayank Aggarwal) – In Progress
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R and R Studio: Data Analytics, Data Science, Statistical Analysis (Udemy, Kirill Eremenko) – In Progress
Data Science · AI & ML Engineering · Research