Data Scientist | Machine Learning Engineer | LLMOps | GenAI | Global Shapers Community
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Pursued Master's in Theoretical Computer Science at PSG College of Technology. Had a few hands-on experiences on industry projects involving Computer Vision & Deep learning.
PSG College of Technology
Master's degree, Theoretical computer science
January 1, 2018 – January 1, 2023
SKV Matriculation Higher Secondary School
Higher Secondary Certificate(HSC)
January 1, 2016 – January 1, 2018
National Model Matriculation Higher Secondary School
Secondary School Leaving Certificate(SSLC)
January 1, 2011 – January 1, 2016
HARMAN International
Data Scientist
July 1, 2023 – Present
Bengaluru, Karnataka, India
HARMAN International
Machine Learning Engineer
January 1, 2023 – June 1, 2023
Bengaluru, Karnataka, India
Tonbo Imaging
Computer Vision Intern
July 1, 2021 – January 1, 2022
Bengaluru, Karnataka, India
Stanford University
Research Internship
June 1, 2021 – February 1, 2022
Stanford, California, United States
Council of Scientific and Industrial Research
Research Intern
June 1, 2020 – August 1, 2020
India
PSG College of Technology
Research Assistant
March 1, 2020 – June 1, 2020
India
Image Compressor
February 1, 2020 – March 1, 2020
It is an Effective lossless compression scheme that is scalable to high-dimensional data, like images. It uses Hierarchical Latent Variable Modelling to capture the underlying distribution of the input data and encodes the data by combining Entropy coder called Asymmetric Numeral System (ANS) and Bits-Back coding technique.
Internet of Military Things
November 1, 2019 – February 1, 2020
The project is aimed at developing a soldier strap that will be given to soldiers for transferring their vital stats through a secure transmission and security is a key in this technology for prevention of any unauthorized access. Utilizes the concepts of the Internet of Medical Things, Body Sensor Network(BSN), and the data is transmitted securely on a wireless network with end-to-end encryption using LoRa Wide Area Network.
AutoComplete
September 1, 2019 – October 1, 2019
It uses the multi-prefix matching algorithm, which suggests terms whose words’ prefixes contain all words in the string typed by the user and it is a competitive candidate for searching and retrieving terms from a large ontology. The results of the experiment show that users need significantly fewer keystrokes when supported by the multi-prefix algorithm than when supported by the baseline algorithm.
Track N Tell
August 1, 2019 – October 1, 2019
A vehicle alert system built using Arduino Uno R3, GPS and GSM. It has facilities like GeoFence, GPS tracking, accidental alert.
i-Mask
October 1, 2018 – November 1, 2018
This application uses Bit-Plane Complexity Segmentation(BPCS) Steganography to embed secret information in the bit-planes of the image vessel without visibly altering the appearance of the image vessel. It replaces all of the “noise-like” regions in the bit-planes of the vessel image with secret data without deteriorating the image quality, thus increasing the efficiency of data embedding into the image.
Snowflake Hands-On Essentials: Data Warehousing Workshop
Snowflake
June 25, 2026 – Present
AWS Partner: Containers on AWS (Technical)
Amazon Web Services (AWS)
June 25, 2026 – Present
Generative AI Fundamentals
June 25, 2026 – Present
AWS Partner: Building Batch Data Analytics Solutions on AWS (Technical)
Amazon Web Services (AWS)
June 25, 2026 – Present
Attention Mechanism
June 25, 2026 – Present
Encoder-Decoder Architecture
June 25, 2026 – Present
Introduction to Image Generation
June 25, 2026 – Present
Introduction to Responsible AI
June 25, 2026 – Present
Blockchain Basics
Coursera
June 25, 2026 – Present
Introduction to Large Language Models
June 25, 2026 – Present
Introduction to Generative AI
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background in research and diverse projects, including defense and medical applications, indicates adaptability and a broad interest in applying technical skills to various domains. Their experience as a Data Scientist and Machine Learning Engineer aligns well with data-driven roles. The range of certifications, including AWS, Snowflake, and Generative AI, demonstrates a commitment to continuous learning and staying current with industry trends, which is a positive indicator for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate's diverse research and project experience suggests strong analytical thinking, problem-solving, and a proactive approach to learning new technologies. The descriptions of their roles indicate an ability to work independently on complex tasks and contribute to research initiatives. However, without direct assessment data on communication or teamwork, these aspects are inferred.