Jul 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · On-site

• Performance Team:-
• 1. Conducted in-depth performance evaluations and competitive benchmarking of IBM LOZ systems vs. Intel x86 environments to support strategic sales and solution positioning.
• 2. Published findings via IBM Seismic, demonstrating significant performance advantages of MongoDB on IBM LOZ systems over Intel x86 setups, driving customer confidence in IBM’s hardware stack.
• 3. Led the "Then and Now" initiative to create a modular architecture for performance analysis of MongoDB across IBM generations (Z15 to Z17).
• 4. Deployed the framework to assess critical subsystems like HyperSockets and ROCE, enabling robust throughput optimisation under diverse workloads.
• Tech stack: Python, Bash, Linux (RHEL), MongoDB, YCSB (Yahoo Cloud Serving Benchmark), performance analysis.
• Development & Automation team :-
• 1. Designed and automated tools to streamline internal operations, resulting in major reductions in manual work.
• 2. Built a production-grade Agentic AI system for CSV analytics and cross-file visualization using LangChain, LangGraph, and Groq’s Chat LLM, with Pydantic validation and LangSmith monitoring.
• 3. Delivered intelligent user request handling through intent parsing, NLP matching, and single-shot execution, enhancing the overall data exploration experience.
• Tech stack: Python, YAML, Ansible, GitHub, Streamlit, LangChain, NLP, GenAI, Deep Learning.

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

• During my 6-month internship at IBM ISDL in the Performance Team of IBM Linux on Z, I immersed myself in two impactful projects.
• Project 1: Competitive Performance Study of FS9K and NVMe Devices
• Utilizing BASH, Python, and FIO, I conducted a comprehensive study of FS9K and NVMe devices, contributing valuable insights for system optimization.
• Project 2: Competitive Study of MongoDB on IBM Linux on Z and Intel x86 Machines in a Fully Encrypted Environment
• Employing BASH, YCSB, Python, MongoDB, and an internal IBM tool, I compared MongoDB performance on IBM Linux on Z and Intel x86 in a fully encrypted setup. The study played a key role in marketing IBM Linux on Z machines, influencing potential customers.
• Technical Stack:
• BASH
• Python
• FIO
• YCSB
• MongoDB
• Internal IBM Tool
• These experiences not only honed my technical skills but also deepened my understanding of performance optimization and strategic market positioning in the enterprise computing landscape. Proud to have contributed to IBM ISDL's innovative endeavors.