May 2025 – Sep 2025 · 4 mos · Bengaluru, Karnataka, India · Hybrid

• ● Developed a Kubernetes controller that orchestrates chaos experiments on VMs by reconciling a vertex-based graph representation of faults to coordinate fault injection.
• ● Leading LitmusChaos development, focusing on scalable agent management, streamlined orchestration, MCP server integration, and enhanced observability through Prometheus metrics and log streaming.

Mar 2022 – May 2025 · 3 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

• Developing Harness Chaos Engineering to enable continuous resiliency for a wide array of enterprise software.
• ● Developed Linux Chaos Infrastructure to streamline the fault injection and orchestration of chaos in Linux machines.
• ● Authored the documentation for the Harness Chaos Engineering module in the Harness Developer Hub.
• ● Received FY'24 Q2 Top Performer Award.
• ● Developed Cloud Foundry chaos agent and experiments for injecting application-level chaos faults.

Aug 2023 – Dec 2023 · 4 mos · Remote

• LFX Mentor for CNCF LitmusChaos project for 2023 Term-3.
• ● Mentored a contributor/mentee for improving litmusctl UX and codebase, and adding new functionalities to litmusctl.

May 2021 – Mar 2022 · 10 mos · Bangalore Urban, Karnataka, India

• ChaosNative is an early leader in open source cloud-native Chaos Engineering with intentions to further accelerate the pace of innovation as an independent company, working closely with users and maintainers in the LitmusChaos community. LitmusChaos offers a complete toolset for cloud-native SREs and developers to practice Chaos Engineering and helps build the overall resilience of applications and platforms of the ecosystem.

Jan 2021 – Mar 2021 · 2 mos · Bhubaneswar, Orissa, India

• Internship Task: To build and deploy an AI-Enabled Fintech B2B Cloud Application.
• Task Description and Outcome: Development of a full-stack web-based product thereby developing a deep understanding of all aspects of product development such as identifying appropriate user requirements, designing a great user experience, and building appropriate data models and machine learning models along with relevant
• UI components and backend design.
• Tools and Technologies Used:
• 1. Data Science & ML
• ● Data Pre-processing & EDA
• ● Feature Engineering & Feature Selection
• ● Build AI models using ML algorithms
• 2. Application Design & UI Development
• ● Database Design & Data Loading
• ● Build UI using ReactJS
• ● Server-side programming using Java

Dec 2020 – Feb 2021 · 2 mos · Delhi, India

• Laboratory for Computational Social Systems (LCS2) is a research group led by Dr. Tanmoy Chakraborty at IIIT-Delhi. The broad research interests of this group include Data Mining, Complex Networks, Social Computing, Natural Language Processing, and Data-driven Cybersecurity.
• Responsibilities Undertaken:
• 1. Development of a novel algorithm for class-imbalance learning for deep neural networks that perform imbalanced data classification using the Hellinger distance metric.

Jul 2020 – Jan 2021 · 6 mos

• Responsibilities Undertaken:
• ● Conceptualization and research of the proof of concept of the technical projects undertaken by the lab.
• ● Feasibility analysis of projects in coordination with the project leads and members of the projects.
• ● Coordination of projects in domains including App Development, IoT, AR/VR, Cloud, as well as active development of the projects in domains including Machine Learning, Full Stack Development.

Nov 2019 – Jun 2020 · 7 mos

• Responsibilities Undertaken:
• ● Developed a FaceNet face recognition model for IoT-enabled remote facial attendance system.
• ● Published a book chapter titled "Applications of Convolutional Neural Network in Image Forgery Detection and Localization" in Project Innovations in Distributed Computing and Internet Technology, 10th Edition (Pages 69-79), Springer publication.

Aug 2019 – Oct 2019 · 2 mos

• Responsibilities Undertaken:
• ● Development of the lab's website using HTML, CSS, JS, Node.js, Express.js, and Mongo DB.

Jul 2020 – Sep 2020 · 2 mos

• Find Me Mentor is an online education startup that offers on-demand courses facilitated with live online classes. As a data science intern, my primary responsibility was to develop ML and AI-enabled software to aid and facilitate the learning of the students in online classrooms.
• Responsibilities Undertaken:
• 1. Developed a drowsiness detector software to track students' attention during the live online lectures.
• 2. Developed an emotion detector to monitor students' performance during the live online lectures.

Nov 2019 – Jul 2020 · 8 mos · Bhubaneswar

• A junior intern at WEC Minds, Pvt. Ltd., I, along with my team were responsible for the development of the evaluation and facilitation website for Startup Odisha 2020, an initiative of the Govt. of Odisha to make Odisha a startup hub by the year 2020.
• Responsibilities Undertaken:
• 1. Backend development using Node.js and Express.js to handle different REST API endpoints.
• 2. Developed a certificate generator and evaluation sheet generator using jsPDF.
• 3. Developed MongoDB schema and integrated backend logic for the database CRUD.
• 4. Developed MongoDB aggregation pipelines for implementing database search using filtering parameters.