Experience
Software Engineer
Uktha Global Inc., Atlanta, GA
- Developed deep learning recommendation systems with collaborative filtering and embeddings, boosting customer engagement by 20%.
- Built and deployed NLP models (Hugging Face Transformers) for text classification and sentiment analysis using FastAPI + Docker.
- Migrated batch ML models into near real-time pipelines on Databricks, cutting processing time from hours to minutes.
- Implemented Grafana dashboards and Python scripts for monitoring drift, accuracy, and latency in production ML models.
- Optimized ML workflows on GCP Vertex AI & BigQuery, improving retraining speed by 40%.
- Collaborated cross-functionally to integrate ML APIs into core applications, enabling personalization at scale.
April 2025 – Present
Volunteer Technical Assistant (ML Focus)
Southern Illinois University Carbondale, Carbondale, IL
- Modeled 1,000+ housing records using Pandas & Scikit-learn, reducing vacancy by 15%.
- Created predictive dashboards with Matplotlib & Seaborn for efficient housing resource allocation.
- Implemented survey response analysis with NLP (TF-IDF + Logistic Regression), boosting engagement by 20%.
- Automated ETL pipelines using Python & Airflow, reducing manual reporting time by 50%.
- Deployed ML dashboards on Flask + Docker, ensuring scalability for university-wide adoption.
- Conducted model explainability analysis with SHAP & LIME, improving trust in ML outcomes.
July 2024 – April 2025
Graduate Assistant (ML Engineer & Data Analyst)
Southern Illinois University Carbondale, Carbondale, IL
- Applied BERT-based sentiment analysis on 10,000+ feedback entries, reducing housing vacancy rates by 10%.
- Built predictive models with Scikit-learn & TensorFlow, achieving 90% accuracy in retention prediction.
- Automated triage workflows across Navigate & Advocate platforms, cutting issue resolution time by 50%.
- Mentored 10+ graduate assistants on ML practices, reproducibility, and visualization techniques.
- Created interactive dashboards in Flask for academic performance metrics, aiding strategic planning.
- Conducted A/B testing on engagement interventions, improving inclusivity metrics by 12%.
August 2022 – May 2024
Assistant System Engineer (SWE)
Tata Consultancy Services, Chennai, India
- Automated operational reports using Python + Pandas, improving efficiency by 25%.
- Developed ML anomaly detection models (Isolation Forest, Autoencoders) for IT monitoring, reducing downtime by 40%.
- Deployed ML pipelines with Docker + Pega, achieving a 95% Guardrail score.
- Built classification models for incident triage, reducing manual effort by 30%.
- Created KPI dashboards with Matplotlib & Seaborn for leadership monitoring.
May 2021 – June 2022
Python Developer (Intern)
Mandli Technologies Pvt. Ltd., Bangalore, India
- Enhanced ML pipelines for AI-driven e-learning, improving personalization by 30%.
- Trained classifiers on 10,000+ user interactions, increasing module completion by 25%.
- Integrated ML outputs into production within Agile sprints, collaborating with cross-functional teams.
- Developed REST APIs in Flask for real-time predictions.
- Performed feature engineering on 50,000+ activity logs, raising accuracy by 15%.
- Implemented CI/CD and unit tests for ML workflows, ensuring robust deployments.
- Built learner performance dashboards using Matplotlib & Seaborn.
October 2020 – April 2021
