Hey there — thanks for dropping by! I’m an AI/ML Engineer at STG, currently building intelligent agents that (hopefully) make life a little easier. I completed my Master’s in Computer Science from UCSC in December 2024, with a focus on AI, ML, and Analytics.

I’m passionate about turning raw data into smart decisions. With hands-on experience as a Data Scientist, I’ve built scalable data pipelines, collaborated with stakeholders, and delivered solutions that actually move the needle—think improved efficiency, less manual grunt work, and real business impact.

I love digging into messy datasets, finding the hidden patterns, and turning complex insights into clear, actionable stories. Whether it’s building, analyzing, or presenting—I’m all in.

Let’s connect and chat about all things data, AI, or whatever you’re curious about. Always up for an interesting challenge!

Experience

AI/ML Engineer, STG

May 2025 - Present | Bangalore, India

• Building Agents

Data Scientist, Gravity iLabs

Feb 2021 - July 2022 | Bangalore, India

• Designed and Developed robust and scalable ETL data warehouse with a throughput of 2000 RPS achieved via AWS S3 and Redshift.
• Increased end-users operational efficiency by 70% implementing a centralized dataset which powers over 50 insightful dashboards using Power BI.
• Deployed stored procedures on Azure reducing data processing time by 45% within the data lake.
• Developed a multi-tenancy model, reducing TAT for client onboarding by 80%.
• Developed a KNN model to predict project completion status with 92% accuracy based on project objectives, risks, benefits, and budget, empowering business leaders to gauge project complexities and optimize for timely completion.

Data Scientist, Nokia

Jan 2019 - Feb 2021 | Bangalore, India

• Designed and developed a 5G and Small Cells S-Curve dashboard using REST APIs to enable global tracking of development and testing progress across multiple teams. This resulted in an increase in efficiency in decision-making for business leaders.
• Engineered an advanced JIRA dashboard, utilizing the JIRA API to provide comprehensive project management insights, streamline task management across sprints, resulting in a 30% increase in task efficiency.
• Automated dataset preparation using Python, Postgres, and ETL processes with scheduled cron jobs, resulting in a 90% reduction in manual effort and saving 15+ hours per week.

Software Engineer, Nokia

Jun 2016 - Dec 2018 | Bangalore, India

• Developed an automation suite using RIDE, causing a 40% reduction in testing time and leading to 100% test coverage.
• Conducted High Availability testing, injecting service failures and assessing system behavior to ensure robustness and fault tolerance thereby reducing downtime by 40%.
• Executed 100+ test scenarios, resulting in an improved software quality and a 15% reduction in customer issues.

Education

Master of Science in Computer Science & Engineering, University of California, Santa Cruz

September 2022 - Present | California, USA

CGPA: 3.9/4.0
Relevant coursework:

• Winter ‘24: Principles of Computer System Design
  
• Fall ‘23: Statistical Data Analysis, Deep Learning
  
• Spring ‘23: Software Design, Programming Languages
  
• Winter ‘23: Artificial Intelligence, Computer Graphics
  
• Fall ‘22: Machine Learning, Analysis of Algorithms
  
  

Post Graduation Diploma in Data Science, International Institute of Information Technology, Bangalore

March 2020 - April 2021 | Bangalore, India

CGPA: 4.0/4.0
Relevant coursework: Machine Learning, Advanced Machine Learning, Data Warehousing and Data Mining, Deep Learning

Bachelor of Engineering in Computer Science & Engineering, Visvesvaraya Technological University, Bangalore

March 2020 - April 2021 | Bangalore, India

CGPA: 8.0/10.0
Relevant coursework: Data Structures, Analysis and Design of Algorithm, Operating Systems, Software Engineering, Systems Software

Key-Skills

• Programming Languages: Python, R, Java, C, Javascript
  
• Libraries: PyTorch, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Ggplot
  
• Databases: MySQL, PostgreSQL, Cassandra, MongoDB, SSMS, SSIS
  
• Visualization Tools: PowerBI, Tableau, Grafana
  
• Modeling: Linear Regression, Logistic Regression, SVM, Decision Trees, Random Forests, Bagging, Boosting, K-means, KNN, Sentiment Analysis, Lasso Regression, Ridge Regression, Naïve Bayes, Deep Neural Networks, Convolutional Neural Networks, ARIMA, SARIMA
  
• Also skilled in: AWS EC2, AWS Redshift, S3, GCP, Jira, Git, MS Excel, Computer Vision, CI/CD, Docker, Kubernetes, Data Structures and Algorithms, System Design, REST