Machine Learning Engineer | RAG Specialist | Computer Vision & NLP Enthusiast
I am a final-year Computer Science Engineering student (2022–26) focused on building production-grade AI systems that bridge the gap between technical complexity and business ROI. Currently, I am architecting RAG pipelines and geospatial ML solutions at RMSI Pvt. Ltd.
- 🔍 Machine Learning Intern @ RMSI: Specialized in architecting production-grade RAG pipelines and automating unstructured data parsing using LLMs, achieving a 40% reduction in manual processing latency.
- 🛠️ Tech Stack: Proficient in PyTorch, TensorFlow, LangChain, and OpenCV. Deep experience in Computer Vision (U-Net, CNN) and Natural Language Processing.
- 📈 Business Minded: Certified by McKinsey & Company and Goldman Sachs in digital agility and business intelligence.
| Category | Skills |
|---|---|
| Languages | Python (Pandas, Scikit-learn), C++, SQL, LaTeX |
| AI / ML | Deep Learning (CNN, U-Net), NLP (LangChain, LLMs, RAG), Computer Vision |
| Data & BI | Power BI (PwC Certified), Advanced Excel (Goldman Sachs Certified) |
| Cloud & Tools | Oracle Cloud Infrastructure (OCI), Git, Docker, Jupyter |
Python, NLP, OCR, LLMs | Repo Link
- Developed an automated system to parse and summarize complex medical diagnostic reports using NLP and OCR.
- Impact: Streamlines clinical workflows by extracting key health markers and providing concise medical summaries, reducing the time required for manual report review.
Scikit-learn, XGBoost, Anomaly Detection | Repo Link
- Engineered a high-precision machine learning model to identify fraudulent financial transactions in real-time.
- Impact: Implemented advanced feature engineering to handle imbalanced datasets, significantly reducing false positives and enhancing financial security protocols.
PyTorch, U-Net, OpenCV | Repo Link
- Developed a semantic segmentation model achieving 94% mIoU for lane tracking in low visibility.
- Impact: Optimized inference to 30 FPS, enabling safe ADAS integration on edge devices without expensive LiDAR hardware.
- 🎓 Stanford University: Supervised Machine Learning & Advanced Learning Algorithms
- 🏛️ McKinsey & Company: Forward Program (Leadership & Digital Business Agility)
- ☁️ Oracle: Certified Data Science Professional 2025
- 💼 Job Simulations: Goldman Sachs (Excel), PwC (Power BI), BCG (Data Science)
"Architecting intelligent systems that drive measurable business impact."