Headline

Gen AI | LLM | Python Developer | Networking | Automation | Cloud | Ansible | Docker | Shell

About

Software Automation (~10yr) & MLOps Engineer(~2 yr) with 12+ years of total experience architecting cloud infrastructure, ML pipelines, and AI-driven test frameworks. Proven track record of leveraging LLM agents (LangChain/LangGraph) and MLOps tooling (Kubeflow/MLflow) to slash analysis times, accelerate release velocity, and elevate product reliability. Daily practitioner of AI-native development workflows (Cursor, Claude) to accelerate daily coding, test script generation, and design. From leading a 10-engineer team at Nile Secure to qualifying over 100+ production releases and automating 10,000+ test cases across switch ASICs and cloud environments (AWS/GCP), my focus is on engineering scalable, high-impact pipeline solutions. Key Impact: Release Management & Velocity: Qualified 100+ production releases as Release Lead, while cutting release cycle times from 1 month to 2 weeks, reducing API regression execution time by 60%, and accelerating cloud validation cycles by 66%. AI & Failure Analysis: Architected an LLM-powered agentic system that reduced MTTD/MTTR for regression failures by ~70% and manual log analysis time by 40%. Quality & Failure Reduction: Dropped test failure rates from 20% to under 3% through intelligent reporting and reduced UI defects by 50% via a custom self-service UI platform. Framework Scale & Savings: Automated 1,000+ L1–L3 test cases across 10+ enterprise switch platforms, reducing manual test execution effort by up to 70% and saving 7–10 engineering hours weekly. Technical Stack: Python, PyTest, LangChain, LangGraph, Kubeflow, MLflow, AWS, GCP, Docker, Kubernetes, Jenkins, L2/L3 Protocols, Spirent, IXIA.

Location

Bengaluru

AI stack

claude code

cursor

hugging face

langchain

langgraph

LiteLLM

Work experience

Member Of Technical Staff at Nile, Jul 2020 - Present · 6 yrs 3 mos, India, - Automated CI pipeline log analysis and summary generation using LangChain/LangGraph, cutting manual analysis time by 40%. - Co-ordinated to building scalable MLOps CI/CD infrastructure with Kubeflow and MLflow, enabling distributed training, inference, and monitoring while accelerating AI model deployment and delivery. - Built an observability solutions dashboard using Grafana, enabling real-time monitoring of systems and providing actionable insights for faster incident detection and troubleshooting. - Reduced API regression execution time by 60% and improved validation and promotion cycle time. - Build end-to-end automation for networking and cloud test suites using Python (pytest), reduced overall regression execution time by 30%, and test failure rates from 20% to under 3% through intelligent test reporting, flaky test detection, failure categorization, and root cause analysis. - Architected and implemented an LLM-powered agentic failure analysis system to reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) for failed test case analysis, reducing ~70% for regression failures. Created CI/CD automation and release validation pipelines that accelerated software promotion cycles and reduced the release cycle from 1 month to 2 weeks. - Leading a team of 10 engineers, mentoring developers, driving Agile sprint execution, and coordinating cross-functional project delivery. - Awarded Company Hackathon Winner for developing a self-service UI automation platform that enabled engineering teams to execute validation pipelines, reducing UI defects by 50%.

SQA ( Test Framework Automation ) at Marvell Semiconductor, May 2019 - Jul 2020 · 1 yr 3 mos, Greater Bengaluru Area, - Added Automation for 1000+ Layer 1 & Layer 3 networking test cases across 10+ enterprise switch platforms, improving regression coverage and release confidence. - Created SONiC PTF environments, confirming critical switching, routing, and hardware functions across a broad range of network topologies, which helped a 5-member manual testing team. - Designed reusable, modular Python automation libraries that modernized legacy QA frameworks, accelerated feature validation, and enabled support for 10+ product SKUs. - CI/CD automation and a custom Power over Ethernet (PoE) validation framework, reducing manual test execution effort by 70% and improving release efficiency.

Senior Software Engineer (CW: Cloud Simple) at MSys Technologies LLC, Sep 2018 - May 2019 · 9 mos, Pune, Maharashtra, India, - Developed a Python-based automation framework architecture and design for validating GCP and AWS cloud networking infrastructure, reducing release validation cycles by 66% (from 5 weeks to 2 weeks). - End-to-end validation of cloud infrastructure like Docker, Kubernetes, and Ansible workflows, for private cloud deployment for reliability and efficiency. - Led a multi-vendor network automation library development for Cisco and Arista switches, eliminating duplicate test logic and enabling a common automation framework across platforms. - Architected a standalone Role-Based Access Control (RBAC) validation framework in Python with integrated reporting, automating permission verification and improving security test coverage.

Co-Founder at DriveBuddy(TechMinions Innovations LLP), Dec 2016 - Feb 2017 · 3 mos, Pune Area, India, 1. Working on Safety Product development for CAR user. 2. Device have feature like front-end collision, lane keeping assistance, dashcam video recording, GPS tracking, OBD analysis and alert data analytics report generation for driver’s driving pattern, driving behaviours, driving speed based. 3. Role and responsibility for module like GPS, GSM, Raspberry PI set-up, power optimization, OBD, OTA, hardware part selection and vendor communication, application development for web communication using MQTT, Linux application development and system integration and documentation & Planning

Engineer ( CW : Cavium/ XPliant) at VOLANSYS Technologies, Aug 2014 - Sep 2018 · 4 y 1 mo, India, 1. Project Description: Network Switch ASIC SDK Testing Testing of High Speed SDN enabled reconfigurable network ASIC. In testing needs to identify, automate and run function(L2/L3 network features), Stretch, and performance test. Role and Responsibilities: - Involved in testing for L2/L3 testing network protocol, Openflow with ovs, SAI OCP testing - Involved in Automation Test Framework design and development to test Networking Switch SDK using Python, shell script & C - Contributed to prepare test plan, test case and test strategies - Participated in Test Plan review meeting with internal and external team - Setup and Integrate automated test framework with Jenkins to run the whole testing daily in the regressive mode with a single click as well as the time-based trigger. Test Framework: py.test, robot, gtest, PTF, OFtest, RyuTest Tools: Spirent, IXIA, ostinato 2. Project description: Packet dissector for Network telemetry Developed the python based application to parse received packet hex dump on cloud and send the packet to cloud broker. We have used MQTT for packet send/receive and scapy for packet parsing. Role and Responsibilities: - Analysis and understanding of the requirement - Design and develop python based application for packet dissector - Write test case to test application

Education

Specialisation, Machine Learning Specialization (DeepLearning.AI), Coursera

Master of Engineering (M.Eng.), VLSI & Embedded System, GTU PG SCHOOL (Collaborated with CDAC-ACTS)