📝 My Journey in Code and Beyond
Welcome to a curated walkthrough of my education, experience, and projects that shape my path as a Software Engineer and Tech Enthusiast.
🎓 Academic Voyage
Master of Science in Computer Science
University of Central Florida, 2024-2026
Exploring advanced topics from Algorithms to Machine Learning, I am committed to transforming data into insightful solutions and scalable applications.
Bachelor of Technology in Computer Science and Engineering
Sri Venkateswara University, 2017-2020
With a strong foundation in software engineering, I embarked on my professional journey equipped with versatile skills in programming and problem-solving.
Diploma in Computer Engineering, SBTET
Sree Vidyanikethan Engineering College, 2014 - 2017
Developed foundational skills in software engineering and computer science, with a strong focus on Software development and programming principles.
💼 Professional Experience
Data & AI Automation, University of Central Florida
Aug 2025 – Present
Department: Computer Science | Research Areas: Educational Automation, Data Engineering, AI Analytics, NLP
- Designed and implemented an automation platform to extract, consolidate, and securely deliver Canvas LMS SpeedGrader artifacts (rubrics, annotations, scratch sheets) as canonical, UCF-ID–mapped PDFs, reducing grading turnaround time from 30–40 minutes to 2–3 minutes per student.
- Co-authored a peer-reviewed ASEE 2026 paper titled “ReQuillify: A Learner-Driven Facility for Building Remediation Capacity in STEM Courses.”
- Built a scalable NLP analytics pipeline integrating multiple LLMs, sentence embeddings, unsupervised topic modeling, and statistical visualization to analyze graduate student discussion posts.
- Quantitatively evaluated AI proficiency, adoption depth, and workforce readiness, contributing to a peer-reviewed abstract submitted to the Teaching and Learning with AI Conference (UCF).
- Tech Stack: Python, Flask, Playwright (Chromium), MCP Automation, LLMs (Mistral, Qwen, LLaMA), NLP, Pandas, Matplotlib
Software Engineer, Impetus Inc.
May 2022 - June 2024
Clients : American Express, Cummins Inc., LBrands(Bath&Body Works)
Pioneered performance optimization and data management for a variety of enterprise systems, achieving substantial improvements:
- Data Transformation & Optimization: Led the migration of complex SAS stored procedures to PySpark on Databricks, significantly boosting processing performance and scalability.
- ETL Workflow Orchestration: Designed ADF pipelines to integrate seamlessly with PySpark-based workflows, ensuring efficient and reliable data movement.
- Data Migration: Spearheaded the migration from Informatica and Teradata to Snowflake for Cummins, enhancing data retrieval and storage efficiencies.
- Enhanced BI Capabilities: Integrated ETL data with Oracle Business Intelligence (OBIEE) for improved visualization and reporting.
- Technical Exploration: Conducted a Proof of Concept (POC) using Scala for multi-platform data ingestion.
- Tech Stack: Python, PySpark, SQL, Snowflake, Databricks, Scala, Starburst, Informatica, Teradata.
Software Engineer, Exafluence Inc.
June 2020 - May 2022
Clients : AWS(Amazon Web Services)
Focused on building scalable healthcare applications and real-time data pipelines:
- SQL-to-Spark Conversion: Converted intricate SQL procedures to Spark, building scalable ETL workflows using Java and Spark SQL.
- Data Warehouse Modernization: Implemented Apache Airflow on Dataproc clusters to streamline data processing workflows.
- FHIR Healthcare Application: Played a critical role in developing EXF-FHIR, a healthcare data application supporting CRUD and version tracking, and leveraged Spark and Kafka for HL7 FHIR-compliant data processing.
- API & ETL Development: Created RESTful FHIR APIs with Java and Spring Boot and built ETL modules for real-time data processing.
- Tech Stack: Java, Spark, Spark SQL, Hive, Apache Airflow, Spring Boot, Kafka, MongoDB, ReactJS, Python.