Headline

Senior Staff Engineer @ StoneX Group | M.Tech - BITS Pilani 2021 | 6.8 YOE | Ex Morgan Stanley, HERE Technologies and SAP

About

Backend-focused Software Engineer with 6+ years of experience building scalable, high-performance distributed systems across fintech, mapping, and enterprise SaaS domains. Currently an Associate at Morgan Stanley, contributing to large-scale portfolio analytics platforms powering critical investment workflows. Specialized in Java, Scala, and Spark-based data platforms, with hands-on expertise in microservices architecture, JVM performance tuning, distributed processing, and cloud-native deployments (Docker, Kubernetes, AWS). Proven track record of improving system reliability, eliminating memory bottlenecks, optimizing CI/CD pipelines (50% faster builds), and modernizing production platforms (JDK 21, Scala 2.13, Spark 3.x). Experienced in designing sharding and clustering strategies for high-volume datasets, building resilient cache strategies, and implementing operational safeguards for mission-critical systems. Strong foundation in Data Structures, Distributed Systems, and Cloud Computing, backed by M.Tech in Software Engineering from BITS Pilani. Recognized as a winner at Morgan Stanley’s Global Technology Expo 2025 (User Efficiency category) and an active contributor to AI-driven hackathons and engineering innovation initiatives. I build systems that are reliable under scale, efficient under pressure, and engineered for long-term maintainability.

Location

Pune City

AI stack

antigravity

cursor

opencode

Work experience

Senior Staff Software Engineer at StoneX Group Inc., Jul 2026 - Present · 2 mos, Pune City, Maharashtra, India

Manager / Software Engineer at Morgan Stanley, Dec 2023 - May 2026 · 2 yrs 6 mos, Mumbai, Maharashtra, India, Team -MSFS Factors • Designed and implemented cache refresh strategies to prevent stale client data, improving system reliability and consistency for large-scale portfolio processing. • Reduced CI/CD build and deployment time by 50% by optimizing pipelines, parallelizing workflows, and eliminating redundant steps, significantly improving developer velocity. • Built scalable clustering and sharding mechanisms for historical attribution data, enabling efficient processing of high-volume client datasets. • Diagnosed and resolved critical OOM and data integrity issues by fixing faulty logic, enhancing regression coverage for edge cases, and tuning JVM memory and GC behavior. • Implemented automated operational safeguards (scheduled cache refresh, controlled restarts, monitoring) to maintain high availability and prevent memory exhaustion in production systems. • Led platform modernization by upgrading JDK (17->21), Scala (2.12->2.13), and Spark (3.x), ensuring compatibility, performance improvements, and maintainability. • Recognized as part of the winning team at Morgan Stanley’s Global Technology Expo 2025 (User Efficiency category) for Barra Factor Quant Analytics with Hedge Builder, and actively contributed in cross-LOBAI hackathons to prototype AI-driven solutions for business-critical problems.

Software Engineer at HERE Technologies, Nov 2021 - Nov 2023 · 2 yrs 1 mo, Mumbai, Maharashtra, India

Full Stack Developer - SAP Predictive Engineering Insights at SAP Labs India, May 2020 - Oct 2021 · 1 yr 6 mos, Bengaluru, Karnataka, India

Full Stack Developer - Successfactors Integration at SAP Labs India, Sep 2019 - Apr 2020 · 8 mos, Greater Bengaluru Area

Scholar at SAP Labs India, Aug 2019 - Aug 2019 · 1 mo, Greater Bengaluru Area

Secure and Private AI Challenge Scholarship at Udacity, Jun 2019 - Sep 2019 · 4 mos

Education

Master of Technology - MTech, Computer Software Engineering, Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.), Computer Science, IES College of Technology Bhopal

Public links

github: https://github.com/navneetsharmapro