SDE III @ Morgan Stanley | Distributed Systems · TypeScript · .NET · Scalable Infra

On-site

On-site

Bengaluru, Karnataka, India


Remote








BTech - Bachelor of Technology, Computer Science
Thapar Institute of Engineering & Technology

Higher Secondary
Bal Bharati Public School, Noida
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SDE II at Morgan Stanley working on high-throughput reporting systems powering 17,000+ financial advisors. Experience in building distributed microservices, async pipelines, and ML-based automation (NLP) in production. Proficient in Angular, TypeScript, .NET Core, Docker, and event-driven infra — with a focus on scalability, fault tolerance, and developer experience. Looking to bring this engineering rigor to teams solving complex backend or platform problems at scale. Portfolio → www.soumallyadev.com
Bengaluru
claude code
claude
codex
github copilot
langgraph
mcp
SDE III at Morgan Stanley, Jul 2025 - Present · 1 yr 2 mos, On-site
SDE II / Senior Associate at Morgan Stanley, Jan 2024 - Jul 2025 · 1 yr 7 mos, On-site, • Designed and maintained platforms used by 17,000+ advisors, handling 10K+ reports/month. • Built distributed systems with 99.9% uptime, using .NET Core, Angular, Docker, and async queues. • Led CI/CD infra initiatives and collaborated with ML teams on an NLP chatbot that improved onboarding time by 30%.
Technology Associate at Morgan Stanley, Jan 2023 - Jan 2024 · 1 yr 1 mo, Bengaluru, Karnataka, India
Tortoise Founders Fellow at Tortoise, Jul 2021 - Aug 2021 · 2 mos, Helped the founders validate their hypothesis and refine their pre-launch preparation.
User Experience Engineering Intern at Passbird Research, Inc., Apr 2021 - Jun 2021 · 3 mos, Remote, • Developed and deployed responsive landing pages and multi-step referral flows, increasing engagement by 50%. • Conducted A/B testing via Google Optimize, improving conversion by 15% and reducing bounce rate by 22%. • Iterated based on user feedback and analytics to enhance UI/UX and drive sign-ups.
Back-end Developer at rollinow, Dec 2020 - Mar 2021 · 4 mos, • Built a Python ML recommendation system with Flask and React frontend, increasing user retention by 10%. • Implemented collaborative filtering and automated inference pipelines for dynamic content ranking. • Delivered the platform MVP within 10 weeks while collaborating with the founding team.
BTech - Bachelor of Technology, Computer Science, Thapar Institute of Engineering & Technology
Higher Secondary, Bal Bharati Public School, Noida