Headline

Engineering @Visa | CS @IIITB

About

I’m a Computer Science Engineer with an Integrated Master’s from IIIT Bangalore (AI & ML specialization) and hands-on experience building scalable, distributed, and data-driven systems at Visa Inc. At Visa, I’ve worked on everything from designing fault-tolerant architectures and speeding up developer workflows by 35%, to creating Generative AI tools that cut data processing times from 15 hours to just 1 hour. My work has earned a Technical Innovation Award, but what excites me most is seeing technology directly make life easier for people and businesses. I’m fluent in Python, Java, SQL, Apache Spark, and cloud technologies—and I enjoy turning complex challenges into elegant, impactful solutions. I’ve also co-founded a podcast, led teams, and thrived in collaborative, high-energy environments. Whether it’s Machine Learning, Data Engineering, or Software Engineering, I’m driven by one goal: to build technology that scales, solves real problems, and inspires the people who use it.

Location

Bengaluru

AI stack

claude code

codex

geminicli

langchain

ollama

Work experience

Software Engineer at Visa, Jun 2024 - Present · 2 y 2 mo, Hybrid, Orchestrated healthcheck architecture migration; replaced legacy shared filesystem with scalable Redis cluster, eliminating false positives and single points of failure while supporting 2M+ daily requests • Led the design and implementation of a Disaster Recovery service enabling Active-Active failover and 99.9% availability for a revenue-critical distributed system. • Engineered an automated root cause analysis service using LLM-based reasoning and multi-step workflows, reducing mean time to resolution (MTTR) for critical incidents by 45%. • Improved BI developer productivity by 35% through automation, scripting, and internal tooling. • Developed an automated time-series anomaly detection system, reducing validation time by 90% (15+ hours to 1 hour). • Built a code quality monitoring and suggestion system combining static analysis with ML-based heuristics. • Recipient of the Visa Technical Innovation Award for engineering impact on feedback analytics systems.

SWE Intern at Visa, Jan 2024 - Jun 2024 · 5 mo, Bengaluru, Karnataka, India, Developed a backend service to automate NPS survey analysis using generative models, reducing processing time from one week to 150 seconds. • Built a semantic search service with optimized retrieval-augmented generation (RAG), achieving 100% query accuracy across 5,000+ metadata objects. • Designed a backend workflow to streamline SMB acquirer onboarding through natural-language driven data collection.

SWE intern at Visa, May 2023 - Jul 2023 · 2 mo, Bengaluru, Karnataka, India, Engineered a scalable Spark-based data quality monitoring framework supporting batch and streaming workloads, capable of validating 100M+ records in under 60 seconds.

Research Intern at Big Data Analytics Research Lab, May 2022 - May 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, Built a data lake architecture for fast document retrieval.

Project Intern at E-Health Research Center (EHRC), May 2021 - Jul 2021 · 3 mos, Bengaluru, Karnataka, India, Worked on implementing microservice-based solutions for improving the workflow at the neuropathological lab at NIMHANS.

Marketing Executive at TEDxIIITBangalore, Feb 2020 - Jan 2022 · 2 yrs, Bengaluru, Karnataka, India

Education

Integrated MTech, Computer Science, International Institute of Information Technology Bangalore

12th CBSE, PCMB, National Public School

Public links

github: https://github.com/NeelP2121