Summary
Experienced Data Science graduate from LMU Munich specializing in Computer Vision and NLP with over 5 years of transformative roles at BMW, Fraunhofer IIS, and Gartner. As a proven AI Architect and technical solution expert, I possess a robust background in deploying scalable solutions using advanced AI technologies such as GenAI and transformer architectures. My career has been marked by exceptional Python skills and strategic leadership in the digitalization of processes, implementation of end-to-end data DS projects, and real-time ML deployments that enhance business efficiency. I am also passionate about leading and developing data science teams to drive digital innovations and deliver impactful results.
Education
- M.Sc. Data Science, Ludwig Maximilian Universität (LMU), Munich [1.07 GPA] (2021 – 2024)
- B. Tech Electrical Engineering, IIT Madras [1.6 GPA] (2015 – 2019)
Work Experience
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Fraunhofer IIS – Software development in NLP and Machine Learning (Student job) (Feb 2022 – Present)
- Led the development of a Retrieval Augmented Generation (RAG) system using a vector DB and Langchain for enhancing objective question-answering capabilities in clients’ internal chatbots.
- Developed AI solutions in Dataiku using Google BigQuery and selenium for data extraction, followed by clustering and topic modelling using state-of-the-art NLP models like BERTopic, GPT-4 and other LLMs for market research and trend analytics.
- Designed computer vision modules for object detection, image captioning and Visual QA on the images of clients’ products scraped from social media pages and blogs, for market penetration analysis.
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BMW Group – Master Thesis (May 2023 – Jan 2024)
- Master Thesis: “Active Learning for Semantic Segmentation in Autonomous Driving” [Grade: 1.0]
- Developed new approaches using concentration parameters of Dirichlet distribution to improve uncertainty-based active learning for training semantic segmentation models.
- Co-inventor of 2 patents filed with BMW in this field.
- Built PyTorch Lightning modules and deployed Docker containers on distributed NVIDIA servers.
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BMW Group – Data Science Practical (Dec 2022 – May 2023)
- Developed an AWS cloud efficiency scoring algorithm for BMW, using statistical modelling, feature engineering and machine learning to optimize cloud usage across 5K+ accounts involving a budget in the three-digit million euro range.
- This initiative led to substantial cost reductions and enhanced sustainability, projecting annual savings of millions of euros through efficient cloud practices.
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Gartner – Senior Business Associate (Jun 2019 – Sep 2021)
- Led a cross-functional team for conceptualizing and building WARP Engine, a tool for automating profile validation, plagiarism detection, spam filtering, and automatic content moderation with NLP pipelines, saving over 25 man-hours daily in the Validation & Moderation team of Gartner Peer Insights.
- Worked in the Advanced Analytics team, developing tools to track performance metrics of various business units across Gartner for prioritization, risk mitigation and improving client retention.
- These initiatives required effective leadership, project management, and collaboration with diverse DevOps and MLOps teams to ensure alignment with business goals.
Relevant Projects
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Object-Targeted Visual Style Transfer for Interior Designing (Jun 2022 – Aug 2022)
Implemented a computer vision project using OpenCV to enable style transfer from multiple objects in reference images to matching objects of an input image. Convolutional Neural Networks (CNN) with Swapping autoencoders and a Dense Prediction Transformer (DPT) were used for semantic segmentation and style transfer for deep image manipulation. It is suitable for developing interior designing applications.
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Dreami – A Human-Computation based AI Dream Interpretation Website (May 2022 – Jul 2022)
Fine-tuned a pre-trained transformer model (GPT-3 LLM) for Natural Language Generation based on data collected from public dream interpretation groups on Facebook. Built a functional social website from scratch (and hosted in GCP) for users to enter their dreams, interpret other users' dreams, view AI generated interpretation and collect user feedback for continuous calibration and retraining of the AI model.
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Automatic review moderation system (Apr 2020 – Jun 2020)
Implemented an NLP project to automatically moderate reviews for enterprise products on Gartner Peer Insights. Recurrent Neural Networks with GRUs were used to analyze user-input content and predict market-compatibility, with 87.3% test accuracy.
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Representation learning for Wiki Articles (Apr 2019 – May 2019)
Built a document embedding generator for Wikipedia articles using neural networks. The article vectors generated by the network were used to cluster related wiki articles, with potential applications in recommendation engines.
Skills
- Technical Skills: Python, R, Java, C, SQL; Frameworks and Tools: Pandas, PyTorch, Docker, Dataiku, Selenium, PowerBI, BigQuery, OpenCV; Cloud Platforms: Azure ML, AWS, GCP; Machine Learning & AI: Deep Learning, Statistical Modelling, Computer Vision, NLP, GenAI, LLMs, RAG
- Soft Skills: Problem solving, Leadership, Business acumen, Storytelling, Critical thinking, Prioritization, Strategic vision setting, Stakeholder communication, Personal development planning, Mentorship
- Languages: English (Fluent); German (Intermediate); Malayalam (native)
Activities & Awards
- First to graduate in my cohort of LMU's Master Data Science program, with 1.07 GPA (2024)
- Won Gartner’s LEADIT Peer Award for Innovation (2019-2021)
- Conducted Python training classes for a professional group of 10 in Gartner (2019-2021)
- Technical Operations coordinator for Shaastra 2017, annual tech-fest of IIT Madras (2016-2017)
- Institute web-operations coordinator, IIT Madras (2016-2017)
- Member of National Service Scheme (NSS) and BloodConnect group; organized a blood donation camp at IIT Madras (2016-2017)
- Got Branch Change in 1st semester of B.Tech, with 3rd highest CGPA in department, at IIT Madras (2015)
- Won Visvesvaraya gold medal awarded by Association of Engineers, Kerala (2015)
- Recipient of KVPY Scholarship conducted by Indian Institute of Science and Department of Science and Technology, Govt. of India (2014)
- Recipient of the Commonwealth Class Certificate from BBC & British Council for achievement in intercultural awareness (2014)
- Secured All India 1st in Shell Junior National Science Scholarship, 2013 conducted by British Council in association with Shell India (2013)
- Recipient of NTSE Scholarship (National Talent Search Examination) 2013, conducted by NCERT (2013)