Feb 2024 – Jun 2025 · 1 yr 4 mos · Nagpur, Maharashtra, India · On-site

• PROJECT : AI BASED LEARNING PLATFORM
• Spearheaded the design of a cutting-edge AI-powered learning platform, crafting a robust MongoDB database and backend system using FastAPI/FLASK to drive seamless platform management.
• Pioneered the automation of course creation by integrating advanced AI frameworks like LlamaIndex and LangChain with top-tier LLMs (OpenAI, Claude, Gemini, Llama), cutting manual effort by 85% and delivering a hyper-efficient content creation pipeline.
• Fine-tuned large language models using techniques like LoRA, QLoRA to achieve an impressive 99% accuracy in structuring unstructured ToC data, optimizing performance across multiple AI-driven tasks.
• Led the integration of Retrieval-Augmented Generation (RAG) techniques, reducing operational costs by 40% while ensuring highly accurate and dynamic content generation.
• Designed and deployed AI-driven, course-specific assistants utilizing RAG and vector databases, achieving 93% accuracy and significantly boosting learner engagement.
• Conducted extensive R&D on cutting-edge LLMs (Llama, Mistral, Phi, Gemini,OpenAI, Claude, Gemini) and vector databases (FAISS, Pinecone, ChromaDB), optimizing retrieval efficiency, cost reduction, and system performance.
• Engineered advanced dynamic prompts, slashing operational costs by 80% while maintaining top-tier output quality for AI models.

May 2023 – Jan 2024 · 8 mos · Delhi, India · On-site

• Designed and implemented efficient Python scripts to automate data retrieval and transformation processes.
• Utilized libraries such as Pandas and NumPy for data cleaning, analysis, and optimization.
• Developed and optimized ETL pipelines to streamline data processing and integrate seamlessly with Microsoft Azure.
• Created REST APIs for smooth data exchange and improved application functionality.
• Achieved significant performance improvements, reducing data processing time by over 78%, earning acknowledgment from supervisors.
• Played a key role in enhancing team workflows by sharing best practices and driving collaboration on data-handling projects.

Nov 2022 – Apr 2023 · 5 mos · Pune, Maharashtra, India · Hybrid

• Analyzed construction project data to optimize timelines and resources.
• Created dashboards, reports, and automated workflows for real-time insights.
• Prepared and presented detailed performance reports to stakeholders.
• Collaborated with teams to identify trends and improve key metrics.