Demonstrated and built LLMs and ML models to solve large scaled customer focussed problems and applying them to real-world business problems
Built ML model to extract customer care audio transcripts files to summarize the conversation for business reporting using LLama2 with and without PII data using Bert and saved in S3 bucket
Designed and implemented an information retrieval and classification system for sentiment analysis using NLTK library.
AI/ML Engineer/Data Scientist
Samsung R&D Bengaluru
11.2020 - 09.2022
Upskilled in leveraging cutting-edge technologies to develop innovative solutions across various domains
With expertise in Django, HTML, CSS, and deep learning models such as RNN, LSTM, CNN, successfully implemented a user-friendly walking pattern verification system, enhancing mobile accessibility and scalability through SageMaker
Proficiency extended to the development and maintenance of a Python application for sleep deprivation analysis, incorporating Flask, Firebase, and machine learning algorithms (LR & RF) to provide accurate and personalized sleep recommendations for Samsung Health
Integrated NLP techniques (BERT) and MSSQL into a Django framework, creating a web application with HTML, JavaScript, resulting in enhanced code comprehension and insightful decision-making capabilities
Comprehensive technical documentation and commitment to driving data-driven insights showcase my ability to deliver impactful solutions in diverse technical landscapes.
Data Scientist
Artelus Bengaluru
11.2019 - 05.2020
Contributed to a comprehensive project targeting the early identification of Diabetic Retinopathy by extracting image features using Python in a UNIX environment
Integration of Azure AutoML with advanced machine learning techniques such as K-MEANS and SVM enhanced the accuracy and efficiency of the detection system, ultimately aiding in the prevention of blindness
Spearheaded the development of a finished product prediction tool, incorporating Flask, HTML, JavaScript, and Bootstrap, with RNN and DL models (LSTM+CNN) in Python to forecast finished products using historical data
The seamless integration of MongoDB further optimized data management and storage
In the context of Covid-19, utilized Python and CNN techniques to analyze chest X-ray images, contributing to the early detection and prevention of pneumonia.
Python Engineer
QualiTest Group India Pvt Ltd Bengaluru
07.2017 - 11.2019
Integrated Microsoft SQL Server to optimize data storage and retrieval
Leveraging Python for Call Data Records (CDRs) generation and employing Linear Regression
Analyzed and visualized daily and weekly internet usage patterns, providing concise and actionable insights for end users.
Education
Bachelor Of Engineering - Computer Science
GSSSIETW
VTU
08.2016
Skills
Python 3x
Python 27
Decision-Making
Analytical and Critical Thinking
Multitasking
Time Management
Critical Thinking
Task Prioritization
Organization and Time Management
Certification
Azure AI Fundamentals, Microsoft, 2023
Project Achievements
Beyond QA, Lead Engineer at Contact Point 360, LLM, Llama2 (Lora & PEFT configurations), BERT, NLTK, Python 3.10, Pytorch, Data samples and models from HuggingFace (Samsum & Dialogsum), S3, FastAPI, Built ML model to extract customer care audio transcripts files to summarize the conversation for business reporting using LLama2 with and without PII data using Bert and saved in S3 bucket., Designed and implemented an information retrieval and classification system for sentiment analysis using NLTK library., Demonstrated and built LLMs and ML models to solve large scaled customer focussed problems and applying them to real-world business problems.
Walking Authentication, AI-ML Engineer at Samsung R&D, LSTM, CNN, SageMaker, Django framework, Python, Data Preprocessing (data cleansing, reduction, enrichment and validation), built ML model using LSTM and CNN to identify the walking pattern of individuals to authenticate the ownership of mobile phones and prevent theft., Built a website using Django framework using Sagemaker as a database for testing purposes where Django models were defined to represent user profiles, walking pattern data, and other relevant entities., Additionally, technical documentation was created to support the system, providing details on the integration of the models.
Sleep Deprivation Analysis, AI-ML Engineer at Samsung R&D, SVM, Logistic Regressions, Python , AutoML , Firebase, For Samsung Health, built PoC application and ML model along with data pre-processing to analyze one's sleep data and recommending changes to behavior and health habits to get the most amount of sleep by automating the model training and tuning processes, Enabled the application to leverage powerful machine learning algorithms and techniques, leading to more accurate and personalized sleep pattern recommendations for the users.
GUI Tool Development, AI-ML Engineer at Samsung R&D, Android(Java), Python, Appium Framework, SQL, Led a team of interns in building an automated GUI testing tool using the Appium framework and Python for web app using Flask, The tool mimics user gestures and validates outcomes of Android applications without human input, by creating a web application using Flask that allows users to configure and initiate the testing process through a user-friendly interface.
KLOC Analysis, ML/Full Stack Engineer at Samsung R&D, Python, Django Framework, SQL Database, BERT, Designed and built a code analysis tool called KLOC by incorporating NLP techniques(BERT) and integrating with Microsoft SQL Server (MSSQL) and Django framework to provide basic code comparison and provide additional insights into the nature of code changes., Application helps testers and managers understand the purpose and impact of each revision, identify potential issues or areas of improvement, and make informed decisions based on the analysis results also enhanced reports with Power BI.
Detection of Diabetic Retinopathy, Data Scientist at Artelus, Decision Trees, K-Means, SVM, Azure AutoML, SQL, Worked on a sub-module of a larger project focused on early identification of Diabetic Retinopathy by extracting features from images using Python libraries, Data Preprocessing and integration to Azure AutoML for advanced machine learning capabilities enhancing the accuracy and efficiency of the detection system.
Prediction of Finished Products, Data Scientist at Artelus, Bootstrap CSS, Javascript, HTML, TimeSeries(ARIMA, SARIMA), MongoDB, Contributed to the data analysis and ML model development to forecast finished products using historical data of both raw materials and finished products., Integrated with MongoDB for efficient storage and retrieval of data, enhancing the model's capabilities and facilitating seamless data management and provided frontend UI by incorporating the Flask framework
Covid-19 Chest X-ray Images Diagnosis, Data Scientist at Artelus, Python, CNN, Utilized Python and machine learning (CNN) techniques to detect pneumonia-causing factors in chest x-ray images. Contributed to the early detection and prevention of pneumonia through image analysis.
Daily and Weekly Internet Usage Analysis, Python developer at QualiTest Group India Pvt Ltd, SQL,Python, Linear Regression, By integrating Microsoft SQL Server into the 'Daily and Weekly Internet Usage Analysis' system, we enhance the storage, retrieval, and analysis of internet usage data., Leveraged data visualization and machine learning techniques(Linear Regression) to analyze daily and weekly internet usage patterns., Developed Python code to generate Call Data Records (CDRs) and performed data visualization to extract insights for end users.