AIML Engineer | Generative AI & ML Enthusiast
AIML Engineer with experience building scalable GenAI applications and ML pipelines across cloud platforms. Skilled in RAG, LangChain, LangGraph, LlamaIndex, LLMs, vector databases, and attention-based architectures. Proven track record of deploying real-time GenAI solutions for intelligent automation, personalized customer interactions, and contextual understanding. Passionate about optimizing ML workflows with model evaluation, distillation, and prompt engineering.
GEP – Associated Data Scientist
Jan 2025 – Present
- Automating Contract Lifecycle Management using AI, empowering contract redlining, drafting, and quality checks.
Capgemini – Software Engineer Intern
Aug 2022 – Jun 2025
- Developed RAG-based conversational AI chatbots reducing support time by 60%.
- Designed agentic workflows using LangGraph and human feedback loops.
- Built AI-powered support systems with OpenAI embeddings and GPT models.
- Automated ticket categorization and improved triage efficiency (>0.8 F1-score).
- Engineered Generative AI APIs to reduce manual documentation efforts by 60%.
Usthaan – Machine Learning Intern
May 2022 – Jul 2022
- Developed hybrid NER model (SVM + rule-based) for invoice extraction.
- Integrated OCR libraries into Dockerized APIs with CI/CD deployment.
Unattended Luggage Detection
- YOLOv3-based model to detect unattended items; deployed on Azure Kubernetes Service.
Bike Demand Prediction & Profit Optimization
- Predicted bike rentals using Random Forest and optimized profitability.
Yoga Pose Supervisor
- Real-time CV model for analyzing and improving yoga poses with transfer learning.
- Maharaja Agrasen Institute of Technology – B.Tech (2018 – 2022)
- Bhai Parmanand Vidya Mandir – Class XII (CBSE, 2016 – 2018)
- Center stage award for creating reverse engineering API reducing manual effort by 60-65%.
- Microsoft Certified: Azure AI Fundamentals (AI-900) & Azure Fundamentals (AZ-900)
- Analytics Vidhya Creators Club Member