Professional Experience
Koenig Solutions Pvt Ltd
*Corporate Trainer (July 2023 – Present)*
- Deliver specialized training sessions on generative AI, data analytics, machine learning, and deep learning to corporate clients.
- Develop custom training materials tailored to client requirements across sectors like marketing, finance, and retail.
- Provide hands-on sessions on advanced data analytics tools, R, Python, and Azure.
MITADT University, Pune
Role: Assistant Professor (2021- 2023)
Conducting lectures on Data Science and AI
Mentoring post graduate and under graduate students on AI Technologies such as
Building AI solution on Microsoft Azure
Deployment of Open source ML modelds
Deep Learning based image analysis projects
D. Y. Patil College of Engineering
Role: Assistant Professor (2013- 2021)
Conducting lectures on Data Science and AI
Mentoring under graduate students on Data Science related Projects such as
Data Reporting and dashboard
Exploratory Data Analysis
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Key Projects
- AI-Powered Text and Image Analysis Solution: Designed and deployed a Streamlit-based web app on Azure Cloud for text, document intelligence, speech, and image analysis, leveraging Azure AI services for seamless processing. This versatile solution can automate various business processes, such as document processing, sentiment analysis, and content moderation, improving efficiency and reducing manual effort.
- Knowledge Mining and Conversational AI for Health Policy Assistance: Developed a Retrieval-Augmented Generation (RAG) chatbot using LLMs (Azure OpenAI, HuggingFace, Gemini, Copilot Studio) to provide streamlined access to health policy information for employees. This solution can enhance policy comprehension, reduce support inquiries, and improve overall employee efficiency.
- LLM-Integrated Chatbot for Order Query Resolution: Implemented a LangChain-based chatbot integrated with external APIs to automate customer support for online purchase order inquiries. This solution accurately retrieves and presents order details from the database, potentially reducing customer support costs and improving response times.
- Automated End-to-End Machine Learning Workflow: Developed and deployed an end-to-end machine learning pipeline for diabetes prediction, leveraging Azure Container Instances and a CI/CD pipeline with GitHub Actions for automated deployment. This solution, incorporating data preprocessing, feature engineering, and model optimization, has the potential to improve early diagnosis and personalized treatment plans in healthcare settings.
- Electronic tongue system for beverage and pharmaceutics analysis: Developed an electronic tongue system for beverage analysis, utilizing Wavelet Transform for feature extraction, and computed ML taste models to predict shelf life, ensure quality control, authenticate products, identify regional differentiation and taste masking of pharmaceutics, achieving a 20-45% improvement in quantitative analysis.
- Gait Disorder Prediction System: Developed a multi-class classification model for gait disorder prediction using public datasets and a Random Forest classifier, achieving a 14% improvement in accuracy. This approach has potential applications in healthcare for early diagnosis and personalized treatment of gait disorders.
- Equity and Option Portfolio Management System: Developed a real-time trading strategy using SmartAPI and moving average crossover, achieving a 22% annual ROI. The system also incorporated hypothesis testing for stock return forecasting and Value at Risk (Var) analysis.
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Awards & Certifications
- Microsoft certified Azure AI Engineer
- Microsoft certified Azure Data Scientist
- GATE 2010: Qualified in Instrumentation Engineering with All India Rank-929.
- Device Diagnostic Award: Awarded by BETIC, IIT Bombay in 2021 for contributions to medical device diagnostics.
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Education & Certifications
- PhD in Instrumentation Engineering (2016-2021)
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