Software Engineer @ Flexport | Ex-Morgan Stanley | Distributed Systems | Microservices | System Design | Cloud | National Winner – IVP Coderush | Codeforces Expert | LeetCode Top 0.4%

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

Bangalore Urban, Karnataka, India

Gurugram, Haryana, India




Bachelor of Technology - BTech, Computer Engineering
J.C. Bose University of Science and Technology, YMCA
Join Lokesh and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossSoftware Engineer @ Flexport | Ex-Morgan Stanley | Distributed Systems | Microservices | System Design | Cloud | National Winner – IVP Coderush | Codeforces Expert | LeetCode Top 0.4%
Software Engineer at Flexport, building scalable and low-latency backend systems using Java, Spring Boot, Microservices, Kafka, Python, and distributed architectures. I’ve delivered impactful solutions, including reducing job cycle time by 30% through data and workflow optimizations. Strong in algorithms and system design — • National Winner – IVP Coderush 3.0 • Expert @ Codeforces • Top 0.4% on LeetCode • Google Kickstart India Rank 152 Passionate about distributed systems, high-performance backend engineering, and large-scale architectures.
Bengaluru
claude code
Software Engineer at Flexport, Apr 2026 - Present · 5 mos, Bangalore Urban, Karnataka, India
Software Engineer 2 at Morgan Stanley, Jan 2026 - Apr 2026 · 4 mos, Bengaluru, Karnataka, India, • Architected a platform using Strategy and Factory patterns across 6+ workflows, reducing processing time by 30%. • Built a configurable rule engine using Command and Visitor patterns, improving data correctness by 25%.
Software Engineer at Morgan Stanley, Aug 2024 - Dec 2025 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, • Created a pre- and post-validation framework using the Command–Visitor pattern and DMN-based decision tables to dynamically apply business rules. • Designed a database abstraction layer that translated Sybase SQL queries into H2-compatible syntax, accelerating automated testing by 2×. • Built a response validation framework to compare multi-layered JSON responses across environments, ensuring data consistency and reliability. • Automated test-sheet generation for inputs and expected outputs, enabling faster and more reliable end-to-end validation.
Technology spring analyst at Morgan Stanley, Jan 2024 - Jul 2024 · 7 mos, Bangalore Urban, Karnataka, India, • Spearheaded Redis-based caching integration in a large codebase, improving efficiency and system performance by 1.25×. • Built a high-throughput data access pipeline using multithreading to fetch and aggregate responses from 9 downstream databases, reducing data retrieval time significantly and saving 10+ hours during every release for build managers
SDE Intern at Bridge Healthcare, Oct 2022 - Feb 2023 · 5 mos, Gurugram, Haryana, India, • Built a multithreaded pipeline for faster downstream data access, improving efficiency across 4 user groups and saving hours of manual processing weekly. • Developed REST APIs and automated unit tests with CI/CD, increasing backend reliability and reducing regression issues. • Implemented JWT-based security and contributed to scalable system architecture, enhancing overall application robustness.
Amazon ML Summer School Mentee at Amazon, Jun 2022 - Jul 2022 · 2 mos
Microsoft Engage Mentee at Microsoft, May 2022 - Jun 2022 · 2 mos, Engineered a Natural Language Processing based movie recommendation system with 90% accuracy using 3 models including KNN, collaborative, and content-based recommendation models and designed a modern, responsive UI with autosuggestion that improved user interaction.
Bachelor of Technology - BTech, Computer Engineering, J.C. Bose University of Science and Technology, YMCA
leetcode: https://leetcode.com/user3488Hj
codeforces: https://codeforces.com/profile/JSR1