Headline

SDE-2 Flipkart | Technology Spring Analyst Morgan Stanley | Flipkart Grid 4.0 National Finalist | Student at IIIT Kota

About

Talking about the Achivements:- 1. Flipkart Grid 4.0 National Finalist in top 9 teams among the 1.6 lakhs+Teams that participated. 2. Cleared Swiss Re Realmagine Hackathon Level 1. 3. Codeforces Rating 1350+. 4. Qualified for RMO. Skills and Experience:- Working on Data Visualization, Research and ML/DL tasks for the current organization and have been enjoying the work for more than 3 months. Also aiming at Publishing a Paper if possible.

Location

Jaipur

AI stack

claude code

claude

cursor

hugging face

mcp

perplexity

Work experience

SDE-2 at Flipkart, Mar 2026 - Present · 6 mos

SDE-1 at Flipkart, Jul 2024 - Mar 2026 · 1 yr 9 mos, Centralized logic from 4 legacy systems into a unified orchestration platform using Action Graph Executors; reduced data redundancy by 50% and processing latencies by 30%. Optimized distributed SQL (TiDB) performance, reducing P999 latencies by 93% (125ms to 7.8ms) via schema re-engineering. Resolved a transaction propagation bottleneck causing "pessimistic rollbacks," reducing rollback rates from 350 to < 2 per metric read and preventing resource exhaustion during peak traffic. Using Pyroscope with LLM; to compare previous deployment RS with current one for automated deployment verification and performance regression detection. Led capacity planning for 3x peak load for 2025 BBD. Mentored 3 interns in implementing service mesh canary environments and advanced observability tools, establishing safer deployment strategies that significantly reduced production blast radius.

Technology Spring Analyst at Morgan Stanley, Jan 2024 - Jul 2024 · 6 mo, Bengaluru, Karnataka, India, Built high-throughput APIs using Spring Boot and Elastic Search; implemented a Change Data Capture (CDC) Pipeline to sync primary DBs with caches, ensuring sub-second data consistency. Engineered a responsive Angular dashboard to visualize complex data streams and operational metrics.

Jr Data Science Consultant and Research Intern at Melio, Jul 2022 - Feb 2023 · 8 mos, United States, Analyzed 10,000+ Time-Series points using DB-Scan/K-Means clustering to identify DNA melting patterns. Leveraged Persistent Homology to achieve 90% organism count estimation accuracy in spatial datasets.

Education

Bachelor of Technology - BTech, CSE, Indian Institute of Information Technology Kota

Bachelor's Degree, Indian Institute of Information Technology Kota

Public links

github: https://github.com/aman7073