Headline

Senior Software Engineer @ Wells Fargo | ML Research Intern @ IITBHU | AI, Machine Learning & Full Stack Development (Python, Java(a bit), React) to Delivery (CI/CD)

About

I’ve always liked understanding how things work and then making them work better. Engineering gives me that space to take a messy problem, break it down logically, and build something reliable out of it. I enjoy thinking in systems, designing clean flows and owning outcomes end to end. At Wells Fargo, I’ve built GenAI-driven compliance automation platforms, real-time data pipelines and predictive APIs that reduced manual effort and delivered measurable cost savings. Most of my work sits in backend-heavy systems, production-ready services and dashboards that teams depend on daily. I spend a lot of time working with Python, API design and distributed systems. I care about writing clean, maintainable code, shipping stable releases with Docker and CI/CD and designing systems that can scale. I aim to be an engineer who is both technically sound and, most importantly, consistently Reliable.

Location

Bengaluru

AI stack

claude code

codex

Microsoft Copilot

Work experience

Senior Software Engineer at Wells Fargo, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India, • Developed Python microservices to ingest and validate data from DB, NAS drives, and email sources, reducing manual reporting effort by 99%. • Built a React, Django, and REST API notification platform, reducing stakeholder coordination effort across 5+ workflows by 85%. • Designed Oracle DB schemas with RBAC and audit trails, reducing compliance audit preparation time by 70%. • Engineered fault tolerant microservices using rate limiting, bulkhead, retry with exponential backoff, and circuit breaker patterns to isolate downstream failures. • Integrated AI-generated metrics summaries into reporting applications, automating engineering and compliance insights. • Containerised and deployed 8+ services on OpenShift through Harness CI/CD, reducing production incidents by 75%.

Software Engineer at Wells Fargo, Jul 2023 - Feb 2026 · 2 yrs 8 mos, Bengaluru, Karnataka, India, • Built a GenAI-powered SDLC validation platform (RAG system) integrating LLM, Jira and ServiceNow APIs, pulling additional data from DB, all efficiently. • Built an LSTM-based predictive maintenance API for log anomaly detection, reducing backend service downtime by around 45%. • Developed Python-React monitoring dashboards and alerting pipelines, reducing manual reporting effort by 90% across 10+ production services. • Delivered 10+ automation features annually for compliance validation, evidence collection, and control workflows, improving engineering productivity.

Program Associate Intern at Wells Fargo, May 2022 - Jul 2022 · 3 mos, Bengaluru, Karnataka, India

Research Intern at Indian Institute of Technology (Banaras Hindu University), Varanasi, May 2021 - Jul 2021 · 3 mos, Varanasi, Uttar Pradesh, India, Gait Recognition in Occlusion and Human Re-Identification.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, National Institute of Technology Durgapur

Higher Secondary Education, Science, Delhi Public School, Siliguri

Public links

github: https://github.com/abhishekpawl

leetcode: https://leetcode.com/pawllaaa