About Me
Background
As a Software Engineer 2 at Parspec, I specialize in backend system design and AI platform development. My expertise spans distributed systems, APIs, and scalable architectures, with a focus on building high-performance solutions that drive business value.
Previously, as part of the founding team at Anakin (YC S21), I architected event-driven systems processing over 150 million events monthly. My experience includes cloud platforms (AWS, GCP, Azure), machine learning frameworks (TensorFlow, scikit-learn), and modern backend technologies (FastAPI, Django).
Education
Bennett University
2020 — 2024
BTech - Computer Science with Data Science Specialization
CGPA: 8.0/10
Technical Expertise
Device Engineering & Automation
Specialized in mobile device instrumentation, reverse engineering (Hopper, IDA Pro, Ghidra), and automation solutions using Python and Go.
Cloud & Distributed Systems
Experienced in designing event-driven architectures, data pipelines, and scalable backend services across major cloud platforms.
Machine Learning & AI
Developed ML models for user engagement, recommendation systems, and automated decision-making, with recognition in AWS DeepRacer competitions.
Achievements
Engineer of the Quarter | Anakin
Q4 2023
Recognized for contributions to billion-dollar revenue growth through innovative data solutions and system architecture.
AWS DeepRacer Student League
2023
Ranked in the global top 100, demonstrating expertise in reinforcement learning and autonomous systems.
Current Focus
At Parspec, I'm focused on designing and implementing scalable backend systems while exploring new frontiers in AI platform development. I'm particularly interested in distributed systems, high-performance APIs, and innovative approaches to system architecture.
I believe in building systems that are not only efficient but also maintainable and scalable. Whether it's developing complex backend services or architecting event-driven systems, I enjoy turning challenging problems into elegant solutions.