With over 3 years as a Software Engineer working on projects that made a real difference improving efficiency, driving value, and solving complex problems at scale. Lately, I’ve been focused on building AI-driven solutions using language models, creating tools that not only predict and optimize but also improve real-world outcomes.
-Software Engineer – System Architect – Product Innovator
I’m a recent graduate with a Master’s in Computer Science from the University at Buffalo (May 2025), combining 3+ years of real-world software engineering experience with strong academic foundations. My passion lies in building scalable systems and innovative products—creating high-impact solutions that drive results and push the boundaries of what technology can do.
Backend Engineering
Built scalable backend systems using Java Spring Boot, Node.js, and Python Flask.Cloud & DevOps
Deployed services on AWS using Lambda, S3, EC2, and automated pipelines with Jenkins & GitHub Actions.Microservices Architecture
Redesigned monoliths into microservices for modularity and performance.Web Development
Built full-stack apps with React, TypeScript, Express.js, and integrated RESTful APIs.LLM & AI Integration
Deployed LLM-powered features using Whisper and Streamlit, improving user interaction and automation.Multimillion-Dollar Impact
Turned a critical challenge into a $1.5M win at Ideas2IT (2023).AI Hackathon 2024 - UB
Developed "SmartGrid Predictor" for energy grid optimization, placing top 5. View Certificate
AI Hackathon 2025 - UB
Created "HealthSync AI" for real-time patient triage. View Certificate
AI/ML Research Intern
Medtronic LABS (Dec 2024 - May 2025)M.S. in Computer Science
State University of New York at Buffalo (Jan 2024 - May 2025)Senior Software Engineer
Ideas2IT Technologies, Chennai (Jan 2023 - Jan 2024)Software Engineer
Ideas2IT Technologies, Chennai (Jan 2021 - Jan 2023)B.E. in Electrical & Electronics
Anna University, Chennai (Aug 2016 - May 2020)
Utilized TensorFlow Lite (TFLite) models for detecting hotel items like jugs and cups. Trained using the TensorFlow Object Detection API with SSD MobileNet V2 architecture.
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Developed a Gradient Boosting model (AUC: 0.8062, Accuracy: 0.7452) to predict patient enrollment in underdeveloped regions, optimizing healthcare resource allocation.
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Built an end-to-end AI platform using GPT to automate candidate screening, interviewing, and selection, enhancing hiring efficiency.
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Leveraged BioBERT to create a HIPAA-compliant PHI de-identification system, trained on a gold standard dataset to secure healthcare communications.
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Implemented an AI solution with YOLOv5 and MobileNet v2 on AzureML to automate ceramic damage detection for insurance claims.
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Built an end-to-end ML pipeline on Azure to predict income levels using the Adult Census Income dataset.
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Deployed an edge computing system with YOLOv8 for real-time skin infection detection, improving healthcare diagnostics.
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Mastered AI fundamentals, data ethics, and CRM integration—skills that power intelligent business solutions.
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Honed experimentation skills to drive data-backed decisions, a must for ML-driven insights.
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Levelled up with regression, random forests, and Kaggle competitions—real-world ML in action.
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Built end-to-end ML workflows on Azure, ready for scalable Data Science deployments.
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Sharpened Python skills from basics to advanced, the backbone of my ML toolkit.
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Top 5 finish with "SmartGrid Predictor," optimizing energy grid efficiency using AI.
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3rd place with "HealthSync AI," a real-time patient triage system using NLP and ML.
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I’ll walk you through the process of setting up R in Anaconda and running it in Jupyter Notebook.
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In this article, we’ll walk through the steps to push large files to GitHub using Git LFS.
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Core Strengths in Data Science & ML