🛠️ **Creating Powerful AI Driven Solutions for Gilead Pharma**🌐 **Key Highlights:**- Engineered search engine leveraging AWS Kendra with seamless Databricks integration, optimized information retrieval and enhanced data-driven decision-making.- Additionally, designed an alternative system utilizing ElasticSearch combined with NLP leveraging tokenization and vectorization strategies to enhance search capabilities- Creating diverse chat bot applications using LangChain framework, harnessing the power of NLP for natural language understanding (NLQ) and generation (NLG).

Implemented ML algorithms to optimize energy consumption, orchestrating continuousmonitoring & parameter adjustments, culminating in significant energy usage reduction and substantiating value propositions through impactful demos to stakeholders, delivering data-driven solutions for operational enhancements.*Title*: Ice-cream Factory Energy Optimization:- Conducted comprehensive data preparation involving energy consumption analysis, weather, & production data via Python-based EDA and feature engineering.- Skillfully processed raw data through outlier detection, handling missing values, and addressing multicollinearity using insights derived from SHAP analysis.- Leveraged Reinforcement Learning techniques to dynamically adapt and fine-tune operational strategies for maximal efficiency gains.- Pioneered the creation of an intuitive interactive user interface (UI) for optimized operator recommendations, amplifying data-driven decision-making capabilities.*Title*: Glass Furnace Optimization- Pioneered a cutting-edge real-time optimization algorithm, employing physics-based modeling to harmonize input energy and output production across energy sources- Executed sophisticated SHAP analysis to unravel multicollinearity complexities, while harnessing Regression and K-Nearest Neighbor algorithms for targeted optimization, incorporating mass balance and deseasonalization strategies for degradation mitigation.- Attained substantial energy conservation of 2.5%, demonstrating the effectiveness of the implemented techniques in a challenging operational environment

- Solution Architect for an R&D Project "Internet of Weights" aimed at predicting the overall weight of the aircraft before take-off.- Analyzed aircraft operations at airport to find sources of irregularities in the aircraft overall weightDeveloped a technical proof-of-concept for hardware integration, data transfer usingMQTT, and storage on DynamoDB, with processing on Lambda and applied Regression to predict weight and CG of the overall aircraft- Tested the system at Hamburg Airport with around 1000 passengers- Recieved "Best Innovation Project Award" at Airbus Innovation Summit 2019, awarded by Airbus Group CTO

- Mass Properties Engineer tasked with creation of Weighing Checklist Document (Part of Aircraft Certification Documents) for all aircraft family (A320, A330, A350 and A380)- Python Automation for the document creation. reduced the time required by 95%.

M.Tech Thesis:Intelligent Pipe Health Monitoring Project

Glow Plug Analysis