Apr 2025 – Dec 2025 · 8 mos · Bengaluru · On-site

• Nike – Machine Learning Engineer
• 16th June 2025 – Present
• At Nike, I work as a Machine Learning Engineer focused on building scalable ML solutions that power customer personalization, inventory optimization, and predictive analytics. My role involves developing production-grade models, collaborating cross-functionally with data scientists and product teams, and deploying ML pipelines to support business-critical initiatives. I contribute to the full ML lifecycle—from data engineering and model experimentation to deployment and monitoring—ensuring high-impact outcomes aligned with Nike's digital transformation strategy.
• Apple – Generative AI Engineer
• At Apple, I was part of the Generative AI team where I designed and implemented LLM-powered solutions to enhance user experience across products. I worked on prompt engineering, fine-tuning large language models, and integrating GenAI capabilities into customer-facing applications. My responsibilities included building custom NLP pipelines, evaluating foundation models, and driving experimentation to deliver intelligent, context-aware systems at scale. I collaborated with product and research teams to push the boundaries of GenAI in secure, privacy-first environments.

Dec 2023 – Mar 2025 · 1 yr 3 mos · Bengaluru · On-site

• Developed a Large Language Model (LLM) Evaluation Framework for internal
• chatbot, for Internal AI Agents for different use cases, and standardizing performance
• benchmarking.
• ● Optimized LLM outputs, reduced response latency by 50%, and improved throughput
• through fine-tuned model architectures and inference pipeline
• ● Designed and implemented a scalable AI Agent Evaluation Architecture, crafting multiple
• Low-Level Designs (LLDs) to identify the most efficient methods for comparing AI agent
• ● Conducted extensive prompt tuning and evaluation, testing over 400+ test cases on 7
• different models and metrics to identify optimal configurations, resulting in a 2
• improvement in model evaluation precision.
• ● Built and deployed RESTful APIs in Python to integrate Apple's internal website with the
• evaluation tool, automating workflows and reducing manual intervention by 40
• ● Collaborated in a team of two to develop two Proofs of Concept (POCs), one of which
• evolved into a full-fledged project—a Neural Search-based Employee Filtering Application
• built using Python and React.js.

Sep 2023 – Dec 2023 · 3 mos · Chandigarh, India · On-site

• I spearheaded innovative projects utilizing state-of-the-art models, contributing significantly to the company's technological advancements. My role involved working on cutting-edge models, including "Meta Co-tracker," "META SAM (Segment Anything Model)," and "Grounding DINO. worked on MLops tasks including airflow ,docker kuberentes
• 1)Model Development: Led the development and implementation of advanced models such as "Meta Cotracker," "META SAM," and "Groduning DINO," showcasing a commitment to staying at the forefront of machine learning technologies.
• 2)DevOps Expertise: Played a crucial role in the deployment and maintenance of infrastructure, mastering DevOps tasks. Successfully leveraged containerization with Docker and embraced serverless services like Google Cloud Run to optimize model deployment.
• 3)Cloud Environment Management: Set up and configured various Software Development Kits (SDKs) on Google Cloud Run and virtual machines, including Apache Superset and Apache Airflow. This comprehensive approach enhanced the scalability and efficiency of our machine learning workflows.
• 4)Automation of Model Training Services: Implemented a feature-rich solution for automating deep learning model training services using Docker. This initiative resulted in a remarkable 60% reduction in model training time, significantly enhancing the organization's overall productivity and time-to-market.

Feb 2023 – Jun 2023 · 4 mos · Hyderabad, Telangana, India · On-site

• I'm a Data Engineer Intern currently working on big data technologies such as Hadoop, SQL, PySpark, Google Cloud, machine learning ,ETL tools and Kafka . I'm excited to be part of a team that's working on building and maintaining data pipelines, ensuring data quality and security, and optimizing data storage, processing, and analysis.
• Through this internship, I have been gaining valuable hands-on experience with various big data tools and technologies. I'm constantly learning new skills and techniques, and I'm thrilled to be part of an industry that's at the forefront of innovation.

Apr 2022 – Aug 2022 · 4 mos

Feb 2022 – Mar 2022 · 1 mo · Gurugram, Haryana, India

Dec 2021 – Jan 2022 · 1 mo

Sep 2021 – Dec 2021 · 3 mos · India

• Made an Application that can automate Data Visualization tasks.

Jun 2021 – Jul 2021 · 1 mo