Aug 2025 – Aug 2025 · 0 mo · Remote

• Selected to join the Data Science Summer School 2025, organized by the Hertie School Data Science Lab (DS3), featuring 7 intensive workshops led by international experts. Covered a broad spectrum from core programming (Python, R), mathematics for data science (calculus, linear algebra, statistics) to cutting-edge topics in AI agents and designing online experiments.
• Applied concepts in hands-on projects and collaborative problem-solving, gaining practical expertise in data modeling, machine learning pipelines, and experimental design. Developed and presented end-to-end analytical solutions to academic mentors, with direct exposure to real-world research methodologies.

May 2025 – Jul 2025 · 2 mos · Remote · Remote

• Selected as one of the top 1,000 fellows globally from over 18,500 applicants for the Keploy API Fellowship 2025 a program focused on hands-on API development, testing, and open-source contributions.

Jan 2025 – Jul 2025 · 6 mos · Dwarka, Delhi, India · On-site

• Worked at the intersection of applied ML and research, contributing to client-facing GenAI systems and internal R&D efforts in retrieval optimization, model compression, and pipeline engineering.
• Key Highlights:
• Built a modular framework to experiment with knowledge distillation for embedding models, enabling efficient inter-model evaluations and performance tracking across BEIR datasets.
• Adapted RAG (Retrieval-Augmented Generation) architectures for CPU-constrained environments, addressing system bottlenecks and implementing optimized components.
• Conducted comparative studies using MTEB and BEIR benchmarks, analyzing model performance consistency and embedding quality for IR use cases.
• Drafted whitepaper abstracts for enterprise presentations, translating technical capabilities in retrieval, GenAI, and cloud-native vector systems into strategic communication formats.
• Contributed to an AI-driven document analysis pipeline for a pharmaceutical client — refactored modules for image/table captioning, GenAI-based content tagging, and multimedia extraction.
• Deployed and maintained components across AWS (EC2, S3, Batch, Lambda), integrated logging with MongoDB, and optimized processing using Docker containers and serverless tasks.
• Made a verified open-source contribution to the sentence-transformers library, resolving an evaluation metric bug and collaborating with maintainers.

Oct 2024 – Nov 2024 · 1 mo · New Delhi, Delhi, India · Remote

• Completed the IBM SkillsBuild Mastering Data with Machine Learning Internship in collaboration with CSRBOX.
• Worked on data preprocessing, model training, evaluation, and deployment.
• Developed practical expertise in machine learning algorithms and tools like Python, TensorFlow, and Scikit-learn.

Nov 2023 – Apr 2024 · 5 mos · Ajmer, Rajasthan, India · Remote

• Supported high-scale academic content operations by designing data workflows, automating quality checks, and generating insights to improve operational efficiency.
• Key Highlights:
• Processed and organized 300–400 academic queries per day, enabling accurate routing and reducing redundancy by ~20%.
• Automated plagiarism and quality checks using Python, improving review throughput by 30% and cutting manual workload.
• Queried and maintained a MySQL database with over 50,000 entries, streamlining access to historical content and enhancing decision-making.
• Delivered monthly reports and projections tracking content quality and revenue trends, helping align team efforts with 90%+ accuracy in revenue forecasting.
• Helped improve content accuracy and consistency, contributing to a 15% reduction in client-side quality flags over 4 months.