May 2025 – Nov 2025 · 6 mos · Bengaluru · On-site

• Developed end-to-end data pipelines using Python, SQL, PostgreSQL, and MongoDB, improving ingestion reliability by 7% (confirmed by fewer pipeline retries).
• Automated structured/unstructured data extraction using MCP retrieval workflows, reducing manual lookup effort by 12% (tracking time saved per workflow)
• Developed OpenAI Evals-ready pipelines for LLM performance evaluation in Agile teams, adhering to software development best practices and the full SDLC. Used Git & Bitbucket for version control and collaborative code reviews, ensuring reproducibility; optimized GPT-4 tokenization by 16% (validated via lower token usage and faster response time) for faster compute, and integrated MongoDB/Postgres workflows for faster data storage and retrieval.
• Built and deployed backend services for a live interview proctoring app using FastAPI, REST APIs, and AWS, improving system stability by 18% (validated through reduced error logs).

Apr 2025 – May 2025 · 1 mo · Remote

• Built ETL pipelines using Python and MongoDB to process large volumes of unstructured web data, reducing preprocessing effort by ~15%, measured by comparing the average time spent on manual cleaning before and after automation.
• Fine-tuned a Generative AI model for music creation, improving output quality and style adaptation, validated through internal team feedback and automated quality checks on generated audio samples.
• Integrated Git for version control and Docker with CI/CD pipelines, streamlining deployment and testing, which reduced deployment issues by ~30% based on error logs.
• Collaborated with the product team during Agile sprints to align features with user needs, resulting in ~20% faster pipeline iterations as tracked in sprint retrospectives.

May 2024 – Jun 2024 · 1 mo · Remote

• Designed and implemented web applications to automate workflows, boosting operational efficiency by ~28%, validated through pre- and post-implementation time tracking of key tasks.
• Contributed to an Industry Environmental Compliance Verification System, integrating real-time analytics to improve verification accuracy by ~25%, confirmed by comparing audit results before and after implementation.
• Processed and analyzed environmental datasets using Python, SQL, and visualization tools, reducing manual analysis time by ~40%, measured via logged hours saved per reporting cycle.
• Delivered actionable insights that supported faster decision-making, with improvements observed in report turnaround time and accuracy of compliance checks.

Apr 2024 – May 2024 · 1 mo · Bengaluru, Karnataka, India · On-site

• Evaluated Custom GPT-4 architecture, analyzing response patterns and improving model consistency and adaptability by ~20–25%, validated by comparing output variance and response coherence before and after tuning.
• Developed Postman mock servers and Python-based integrations, reducing testing time by ~10% and accelerating deployment cycles by ~15%, tracked through deployment logs and automated test execution times.
• Explored AWS Lambda, LangChain, and Vertex AI integrations, enabling faster prototyping, measured by the reduction in average iteration cycles per feature.
• Gained hands-on experience bridging AI research with practical engineering solutions, ensuring all improvements were measurable, repeatable, and aligned with real-world deployment needs.

Jan 2023 – Dec 2025 · 2 yrs 11 mos · Bengaluru · On-site

• 🚀 Research Focus:
• Data Science & Analytics
• Artificial Intelligence (AI)
• Generative AI (GenAI)
• Large Language Models (LLMs)
• 📜 Patent Contributor:
• Optimizing Healthcare Towards a Beneficial Future with Cutting Edge Medical Solutions
• AI Driven Cyberbullying Detection and Intervention System Utilizing Hybrid LSTM BERT Architecture
• 📚 Research Publications:
• Published 4+ international research papers in top-tier journals (Springer, Wiley) focusing on AI, GenAI, and Data Science applications
• 🔍 Hands-On Expertise In:
• Natural Language Processing (NLP)
• LLM token-limitation strategies & efficiency tuning
• Retrieval-Augmented Generation (RAG) pipelines
• Smart document ingestion & semantic search
• Prompt engineering for multi-step reasoning
• Predictive Analytics & Statistical Modeling
• Exploratory Data Analysis & Visualization
• 🌍 Objective: Scaling applied research for global innovation, impact, and industry collaboration