About
Highly motivated and results-oriented Data Scientist and AI/ML Engineer with a strong foundation in machine learning, natural language processing, and cloud platforms. Proven ability to develop and deploy innovative AI-driven solutions, optimize complex systems, and extract actionable insights from data. Adept at leveraging advanced algorithms and generative AI tools to drive efficiency and enhance user experience. Eager to apply expertise in real-world challenges and contribute to cutting-edge projects.
Work
Vernekar Associates Pvt Ltd.
|Junior Engineer
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Summary
As a Junior Engineer, contributed to architectural design processes by integrating advanced AI tools and developing a web application for real-time analysis, significantly improving efficiency and client satisfaction.
Highlights
Spearheaded the integration of generative AI tools (Interior AI, makeit.ai) into design workflows, achieving a 50% reduction in project timelines and accelerating delivery of client-tailored interior designs.
Collaborated on the development of Lumina Sync, a web application leveraging AdaBoost, Linear Regression, LSTM, and GRU models for real-time sunlight analysis; this innovation led to significant energy savings and high client satisfaction, earning the 'Best New Product of the Year' award.
Education
University of Florida
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Master's
Applied Data Science
Grade: 3.94
Thiagarajar College of Engineering, Affiliated to Anna University
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Bachelors
Architecture
Awards
Best New Product of the Year Award
Awarded By
Vernekar Associates Pvt Ltd
Recognized for significant contribution to the development of Lumina Sync, a web application that earned 'Best New Product of the Year' for its innovative real-time sunlight analysis capabilities and impact on energy savings and client satisfaction.
Best Research Project Award
Awarded By
Thiagarajar College of Engineering
Awarded for exceptional research project during Bachelor's studies, demonstrating strong analytical and problem-solving skills and contributing to academic excellence.
Languages
English
Fluent
Certificates
AI in Health education & Health promotion
Issued By
Unspecified
Skills
Programming Languages
Python, Bash Scripting.
Machine Learning & AI
Generative AI, Machine Learning (Supervised & Unsupervised), Large Language Models (LLMs), Natural Language Processing (NLP), Predictive Modeling, Clustering & Classification, Deep Learning, Random Forest, XGBoost, SVM, KNN, AdaBoost, Linear Regression, LSTM, GRU, Scikit-Learn, TensorFlow, PyTorch, OpenCV, H2O.ai, Transformers, Gemini Flash models & APIs, Knowledge Graph, Text & Graph analysis.
Data Analysis & Visualization
Data Wrangling, Data Visualization, Matplotlib, Seaborn, Plotly, EDA, Data Modelling, Data Exploration.
Cloud & DevOps
Google Cloud Platform (GCP), Google Cloud AI/ML Services, Google Cloud Storage, Cloud Functions & Deployment, Docker, Git, GitHub, Linux/Unix Commands.
Web Development & Frameworks
React JS, Flask, Django, Streamlit, IMDb API.
Databases & Data Tools
PostgreSQL, MongoDB, pandas, NumPy, ETL Pipelines.
Tools & Methodologies
Prompt Engineering, LangChain, Agile Methodologies, IDEs (VS Code, PyCharm), Microsoft Office (Word, Excel, PowerPoint), Google Colab, Jupyter Notebook.
Projects
Virtual Bioprinting Lab Backend Development
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Summary
Developed robust backend services for a virtual bioprinting simulation and integrated Large Language Models (LLMs) to enhance user learning and provide intelligent insights.
Predictive Model for Stroke Risk in Rural Populations
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Summary
Engineered and validated machine learning models to predict stroke risk, focusing on rural populations and addressing data imbalances for actionable insights.
Movie Expert Chatbot (RAG-based)
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Summary
Developed a Retrieval-Augmented Generation (RAG) chatbot leveraging a custom IMDb knowledge graph to provide accurate and contextually rich movie-related queries.