Software Development Engineer with 2+ years in Fullstack Development & AI/ML
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Assessing your cultural and operational fit
Highly skilled Software Development Engineer with 2.8 years of experience in building scalable full-stack applications using React, Angular, and Spring Boot. Proficient in designing and implementing microservices, integrating databases like MySQL and Redis, and leveraging cloud platforms like AWS. Experienced in AI-powered development, distributed systems, and optimizing performance for data-intensive applications, with a strong background in operating systems and financial mathematics projects.
Indian Institute of Technology, Guwahati
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
JP. Morgan Chase & Co.
Software Developer Engineer
August 1, 2023 – Present
Mumbai, Maharashtra, India
JP. Morgan Chase & Co.
Software Developer Intern
June 1, 2022 – July 1, 2022
Bengaluru, Karnataka, India
Operating System - xv6
January 1, 2023 – July 1, 2023
Implemented hybrid CPU scheduling (SJF + Round Robin) within xv6 kernel and benchmarked performance across CPU-bound and I/O-bound workloads. Implemented LRU-based page replacement, analyzing memory utilization trade-offs. Designed and integrated lazy memory allocation and demand paging mechanisms in xv6. Modified kernel-level data structures and trap handlers to support custom virtual memory features.
Stochastic Volatility Modeling and Option Pricing
January 1, 2023 – July 1, 2023
Implemented risk-neutral Monte Carlo simulations under Geometric Brownian Motion (GBM) and Heston stochastic volatility dynamic. Simulated asset price and variance dynamics using correlated random processes to study the impact of stochastic volatility on option prices. Analyzed implied volatility smile and skew across varying maturities and strike prices. Documented model assumptions, limitations, and scenarios where classical models fail to capture observed market behavior.
AWS Certified: Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from operating system kernel development to financial modeling and full-stack enterprise applications, indicates a broad intellectual curiosity and adaptability. Their experience at a major financial institution like JP. Morgan Chase & Co. aligns well with a professional, high-performance culture. The use of various technologies (React, Spring Boot, Elasticsearch, LLMs, Python, C/C++) and involvement in a company-wide hackathon (JPMorgan Chase SEPathon) suggest a collaborative and innovative mindset, fitting well into a dynamic software development team.
Soft Skills & Operational Fit
The candidate's experience at JP. Morgan Chase & Co. in a full-time role and internship, coupled with academic projects, suggests a strong operational fit for a demanding software development environment. The ability to own end-to-end development, design scalable systems, and leverage emerging technologies like LLMs indicates proactivity and a problem-solving mindset. The project descriptions are detailed, implying good communication of technical concepts. The academic background from IIT Guwahati further reinforces a strong analytical foundation.