Know Me
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About Me

As a Software & Automation Engineer, I specialize in weaving AI with distributed backend systems to architect software that’s not only smart but also scales beautifully.

I’m all about creating efficient, high-performance systems. I embrace the future of development by leveraging AI coding assistants to accelerate my workflow, allowing me to focus on complex system architecture. My experience is rooted in enterprise-scale automation and performance optimization. When not immersed in code, I’m likely exploring new ways to build resilient, high-availability services.

Ready to build something great? Let's architect software that delivers real-world impact

Rise and fall are part of "The Journey".

SKILLS

Languages

Python
C++
Java
SQL
JavaScript
Bash
Ruby

Frameworks

PyTorch
HuggingFace
Django
FastAPI
Spring Boot
React
Node.js
Streamlit

Databases & Search

PostgreSQL
MySQL
MongoDB
OpenSearch
FAISS

Cloud / DevOps

Docker
GitHub Actions
CI/CD
Linux
Oracle Cloud

Core Expertise

Applied NLP
Large Language Models (LLMs)
Information Retrieval
Knowledge Distillation
Extreme Multi-Label Classification
Microservices
Vector Search

EXPERIENCE

Texas A&M University (SKY Lab), College Station, TX
Graduate Research Assistant

Architected a multi-stage semantic retrieval and neural re-ranking pipeline. Engineered a teacher-student knowledge distillation framework using PyTorch and HuggingFace.
Dec 2025 - Present
RBL Bank Ltd., Mumbai, India
Software Engineer (Deputy Manager)

Led team of 5 to automate 250+ enterprise workflows. Architected RBAC-secured APIs and a geo-fenced monitoring system. Engineered Citrix and Nutanix automation pipelines.
Jun 2023 - Jul 2025

EDUCATION

Texas A&M University, College Station, Texas
Master of Science in Computer Science
August 2025 - May 2027
Kalinga Institute of Industrial Technology, Bhubaneswar, India
Bachelor of Technology in Computer Science and Systems Engineering
GPA: 3.98/4

Coursework: Analysis of Algorithms, Software Engineering, Artificial Intelligence, Machine Learning, Data Structures, Operating Systems, Computer Networks, Information Storage & Retrieval
July 2019 - May 2023