Curriculum Vitae
Education
- Master of Science in Computer Science, University of North Carolina at Chapel Hill, Aug 2025 – May 2027 (Expected)
- GPA: 4.0/4.0
- Coursework: LLMs in the Human World, Advanced Machine Learning, Reading and Research
- Bachelor of Science in Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, May 2019 – May 2023
- GPA: 3.9/4.0
- Rank: 9/150
- Coursework: Machine Learning, Deep Learning, Artificial Intelligence and its Applications, Database Systems
Experience
- Software Engineer, Consumer Technology, Wells Fargo, Hyderabad, IN, Aug 2023 – Jul 2025
- Accelerated developer productivity by ~35% by deploying GenAI-powered VS Code extensions (code summarizer, auto-compliance & ADA checker) that reduced documentation effort, pre-commit review time, and manual audit cycles
- Handled 5K+ concurrent Point-of-Sale loan users with <200 ms latency by engineering a Java/Spring Boot microservice, enabling faster credit decisions and improving checkout conversion for retail partners
- Enhanced responsiveness and user engagement by 25% by migrating legacy decisioning applications into React micro-frontends, modernizing UI/UX and reducing load times
- Reduced manual check-decision workload by 90% and processing time to 10ms by designing an end-to-end batch job pipeline with Spring Batch and Jenkins, automating credit verification and risk scoring
- Achievements: Early Talent Hackathon 2024 Runners Up (Identity Impersonation Detection), Global Hackathon Semi-Finalist (Personalized Finance Assistant)
- Research Assistant, New York University, May 2021 – Dec 2022
- Research Guides: Dr. Hanan Salam & Dr. Oya Celiktutan
- Improved fairness by ~35% in multi-modal ML models using a novel fairness loss function (MGP) and efficient Neural Architecture Search, enhancing generalization across demographic groups
- Increased prediction accuracy by 15% through personalized AutoKeras CNN architectures for automatic personality detection, optimizing for subject-level adaptation
- Co-authored peer-reviewed papers in IEEE TAFFC, ACMM, and PMLR, presenting fairness-aware multimodal architectures
- Intern Analyst, Consumer and Small Business Banking, Wells Fargo, Hyderabad, IN, Jun 2022 – Aug 2022
- Reduced event processing latency to 190 ms (40% decrease) for 10K+ concurrent users by engineering a real-time analytics pipeline with Kafka, PySpark, and Azure Docker/Kubernetes for autoscaling
- Tripled telemetry coverage by building React observability dashboards using Azure Application Insights & Log Analytics
- Enhanced reliability and failover efficiency by refactoring containerized microservices, implementing Azure Event Hub checkpointing, and multi-region deployments for faster recovery
Teaching Experience
- Teaching Assistant, CSPC31: Principles of Programming Languages, National Institute of Technology, Tiruchirappalli
Skills
- Programming Languages: Python, C++, Java, Go, JavaScript, TypeScript, Shell, SQL
- Machine Learning & Deep Learning: PyTorch, TensorFlow, Keras, JAX, Scikit-learn, HuggingFace Transformers, OpenAI API
- Data & Experimentation: NumPy, Pandas, Matplotlib, Seaborn, Weights & Biases (W&B), MLflow, Optuna, Ray Tune
- Systems & Cloud: Docker, Kubernetes, Azure, Google Cloud, AWS, CUDA, Distributed Training (DDP, Horovod)
- Research Tooling: LaTeX, Jupyter, PyTorch Lightning, OpenCV, HuggingFace Datasets, NLTK, spaCy
- Web & Frameworks: Spring Boot, Node.js, React, Flask, Express, RESTful Microservices, HTML/CSS
- Databases: MySQL, MongoDB, PostgreSQL
- DevOps & Tools: Linux/UNIX, Jenkins CI/CD, Git/GitHub, Splunk, Grafana, Elastic APM
Certifications
- Microsoft Certified: Azure AI Fundamentals (AI-900), May 2024
- Microsoft Certified: Azure Fundamentals (AZ-900), April 2024
- Google Cloud Certified Cloud Digital Leader, January 2024 (Valid until January 2027)
- Coursera: Deep Learning Specialization
Awards and Honors
- 1st Place - Automatic Personality Recognition Track, ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions (DYAD) at ICCV 2021
- Early Talent Hackathon 2024 Runners Up (Identity Impersonation Detection), Wells Fargo, 2024
- Global Hackathon Semi-Finalist (Personalized Finance Assistant), Wells Fargo, 2024
- Delta Winter of Code 2020 - Contributed to AirCanvas open source project (Nov 2020 - Jan 2021)
