Headline

Senior Staff Engineer @ Palo Alto Networks | Ex Nike

About

I am a Staff-level engineer and technical leader passionate about building distributed systems that just work. Over the last 7+ years, my focus has shifted from writing code to architecting resilient, cloud-native platforms that can handle massive scale. I specialize in modernizing legacy architectures—taking complex, monolithic workflows and transforming them into efficient, event-driven systems using Python and AWS. For me, engineering isn't just about the tech stack; it's about solving the right problems. Whether it's designing a high-throughput data pipeline or defining a multi-year technical roadmap, I aim to build software that is maintainable, cost-effective, and robust. I also care deeply about engineering culture. I enjoy mentoring teams, driving architectural alignment across departments, and fostering an environment where best practices in CI/CD and automation are the norm.

Location

Bangalore Urban

AI stack

anthropic apis

claude code

cursor

hugging face

langchain

Portkey

Work experience

Senior Staff Engineer at Palo Alto Networks, Jan 2026 - Present · 9 mos, Bengaluru, Karnataka, India

Software Engineer 3 at Nike, Dec 2024 - Dec 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, - Leading the design and development of scalable data platform solutions within the consumer product innovation space. - Driving engineering excellence through architecture enhancements, code reviews, and mentorship of junior developers. - Building and deploying cloud-native applications using AWS services such as API Gateway, Lambda, ECS Fargate, DynamoDB, OpenSearch, and Terraform, with integrated monitoring via Splunk.

Software Engineer 2 at Nike, Oct 2022 - Nov 2024 · 2 yrs 2 mos, Bengaluru, Karnataka, India, - API Development and Optimization: Architected and implemented high-performance GraphQL CRUD APIs using AWS AppSync, enabling transactional and concurrent writes to DynamoDB. Engineered REST APIs utilizing FastAPI and OpenSearch, delivering paginated results for datasets exceeding 100k records in under 5 seconds. - Data Pipeline Engineering: Designed and developed Kinesis Firehose-based pipelines to export CloudWatch logs to Splunk indexes, and created comprehensive dashboards to monitor and analyze these logs. - Lambda Function Efficiency: Reduced execution time for a write resolver Lambda function from 19 seconds to 6 seconds by implementing multithreading techniques.Implemented retry mechanisms for multiple Lambda functions, reducing race condition issues by 50%. - Historical Data Coversion and Migration: Led the design and development of a historical data migration solution using PySpark on Databricks and Airflow. This solution followed the medallion architecture and facilitated the conversion and streaming of over 15 million records from source to target systems in real-time, utilizing Spark Streaming for data publishing and Great Expectations and Pydantic for schema validations. - Event-Driven Architecture Design: Collaborated with cross-functional teams and stakeholders to design event-driven architectures and schemas. - Innovation and Competition: Participated in Nike's hackathon, developing an AI-based solution to analyze a Nike athlete's social media impact. This solution was ranked among the top 5 ideas out of 30+ teams. Technologies used: Flask (backend), Amazon Rekognition (AI agent), and HTML/CSS(frontend).

Software Engineer at Soroco, Mar 2021 - Sep 2022 · 1 yr 7 mos, Bangalore Urban, Karnataka, India, - Implemented RPA (Robotics Process Automation) by designing and developing Python-based applications for end-to-end automation of business processes. Tech-stack: Vanilla Python, PostgreSQL, SQL Alchemy, and libraries like Pytesseract, Pandas, and Matcher. The system automates the interactions between various windows based applications in a streamlined way and it also includes Document Processing for extracting details which reduces the manual intervention levels to 5%. - Optimized existing systems by adding new features which resulted in a reduction of AHT (Average Handling Time) by 85% per case and enhanced accuracy of the automation to 96%. - Contributed towards code quality enhancement by developing custom plugins of pre-commit hooks. - Worked on a python script to minimize the time taken in daily manual sanity checks of the environment by the support team. This helped in reducing 3 man-hours daily. - Created dashboards using Django that allowed clients to have visibility on the success rate of the automation systems.

Systems Engineer at Infosys, Apr 2018 - Feb 2021 · 2 yrs 11 mos, Chandigarh, India, - Coded scripts to optimize AWS resource utilization using AWS lambda in python, which reduced the manual efforts in the process to 15%. - Performed patching and troubleshooting of performance issues in RHEL 5/6/7, CentOS 6/7, and Ubuntu servers. - Developed a multi-page business dashboard to visualize the monthly server patching data. This dashboard was built using React JS, Django, and PostgreSQL. - Participated in the development of various orchestration scripts along with Cloud Infrastructure and Security Operations teams. - Amended existing REST APIs to perform different types of validations in order to reduce the chances of potential errors. - Hands-on experience with AWS dashboard and Cloud Infrastructure Management

Education

Bachelor of Technology (B.Tech.), Computer Science, ABES Engineering College

kendriya vidyalaya