Jun 2025 – Sep 2025 · 3 mos · Orlando, Florida, United States · Hybrid

Mar 2025 – May 2025 · 2 mos · College Park, Maryland, United States

• I designed and implemented Retrieval-Augmented Generation (RAG) systems across diverse domains to enhance AI applications with contextual memory, factual accuracy, and self-correction. My work involved integrating open-source as well as closed-source LLMs with vector databases, optimizing chunking strategies, and deploying intelligent agents. Key projects include:
• 1. Naive RAG (Healthcare Domain): Built a foundational RAG pipeline using LangChain, ChromaDB, and Hugging Face LLaMA models to retrieve and summarize clinical notes and treatment guidelines.
• 2. Naive RAG with Memory (Customer Support): Extended the Naive RAG architecture to maintain conversation history using memory buffers for consistent and contextual multi-turn interactions.
• 3. HyDE RAG (Legal Domain): Implemented Hypothetical Document Embedding to enhance zero-shot retrieval in legal QA by generating and embedding synthetic legal context.
• 4. Self RAG (News Media): Created a self-verifying RAG that summarizes news articles and critiques its own outputs for bias and factual accuracy using retrieved references.
• 5. Corrective RAG (Developer Tools): Developed a system that validates LLM-generated code against retrieved programming documentation and auto-corrects discrepancies for higher reliability.
• 6. RAG Evaluation with RAGAS: Benchmarked RAG performance using the RAGAS framework, focusing on context precision, answer faithfulness, and hallucination rates.

Jan 2025 – Mar 2025 · 2 mos · College Park, Maryland, United States

• Designed and implemented Machine Learning (ML) and Natural Language Processing (NLP) models using RapidMiner AI Studio, developing real-world examples to enhance classroom instruction and bridge theory with practical application.
• Built and optimized Neural Networks (NNs) and Convolutional Neural Networks (CNNs) for image classification tasks, leveraging RapidMiner AI Studio for efficient model deployment.
• Conducted in-depth research on Graph-of-Thoughts (GoT) architecture, exploring its potential to improve Large Language Model (LLM) accuracy and reasoning capabilities.

Aug 2024 – Dec 2024 · 4 mos · College Park, Maryland, United States

• Teaching Assistant for the courses Managing Digital Business Markets (Term A) and Social Media and Web Analytics (Term B) under Professor Siva Vishwanathan
• Delivered an engaging demonstration on Retrieval-Augmented Generation (RAG) to MBA students, simplifying complex AI concepts for practical understanding.
• Contributed to content development for AI Studio - RapidMiner, supporting learning modules focused on AI and data analysis tools.
• Created comprehensive course materials on advanced topics such as text processing, FP-Growth algorithm for association rule mining, and K-NN algorithm, enabling effective knowledge dissemination for academic and professional applications.

Jan 2024 – May 2024 · 4 mos · College Park, Maryland, United States

• Teaching Assistant for the course Essential Data Skills for Business Analytics under Professor John Bono.

Oct 2023 – Jul 2024 · 9 mos · College Park, Maryland, United States

• Research Assistant under Professor Waverly Ding and Professor Anil K. Gupta and Beril Yalcinkaya.
• Collaborate with faculty and fellow research assistants, providing technical support and optimizing data acquisition processes from Snowflake using SQL skills.
• Utilize SQL expertise to extract pertinent data directly from Snowflake's database, actively contributing to ongoing departmental research initiatives.
• Refine data extraction queries continuously to improve efficiency and reduce processing time for retrieving research-related data.

Jan 2025 – Jun 2025 · 5 mos · Maryland, United States · Remote

• Building internal agents army!

May 2024 – Dec 2024 · 7 mos · Remote

• Deployed a Multi-agent Retrieval-Augmented Generation (RAG) model using Langchain, MongoDB and LangSmith.
• Designed and deployed an intelligent recommender model leveraging LLMs, vector embeddings, and Google API, enabling personalized travel recommendations for nearby attractions, enhancing user engagement and satisfaction.
• Orchestrated a highly efficient data pipeline that integrated Google Maps Places, TripAdvisor, and YouTube APIs to scrape and store data in MongoDB, improving RAG model performance by 70% and reducing data retrieval latency by 85% with asynchronous programming.
• Devised a data model using Sentence Transformers Small Language Model (SLM) from Hugging Face for NLP processing on vector embeddings, improving information retrieval accuracy by 40% and optimizing query response times from 5 to 3 seconds (72%)
• Developed a data pipeline that executed a grid-based search algorithm for Google API data retrieving.

Feb 2024 – Dec 2024 · 10 mos · College Park, Maryland, United States

• (Master's Capstone Project)
• MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING FOR LAMP
• Architected an end-to-end text-to-SQL chatbot by managing stakeholders, analyzing client needs, and developing architecture from frontend to backend, including AI components, to enhance usability and performance.
• Developed an intelligent chatbot using LLama (via Groq Cloud) to convert natural language queries into SQL, integrated with an SQLite database and a ReactJS frontend and Flask backend.
• Engineered accurate text-to-SQL generation using advanced LLM prompt techniques like system roles and few-shot prompting, resulting in model’s accuracy of 80%

Dec 2022 – Feb 2023 · 2 mos · IIT, Jodhpur · On-site

• Provided guidance and support to the Events and Content Writing teams during IGNUS 2023, the largest socio-cultural fest in Northwestern India.
• Led the organization of the YouTubers Segment and the flagship event, Anatarang Fashion Show, collaborating with a team of 20 undergraduate students for successful execution.

Sep 2021 – Sep 2022 · 1 yr · On-site

• Led a team of over 60 members and supervised three executives in Digital Media, Design, and Content for seamless team operations.
• Collaborated with the team to publish magazines highlighting institute events and fests, showcasing collective efforts.
• Orchestrated the organization of large-scale events like Aarambh, CampUs, Intern Central, Thinking Out Loud, etc., attended by over 200 students at IIT Jodhpur.

May 2020 – Sep 2021 · 1 yr 4 mos · On-site

• Supervised a 30-member team as the Secretary of the club, overseeing team operations and initiatives.
• Organized prominent events such as Aarambh, Intern Central, and Thinking out Loud, drawing participation from over 100 students.
• Strategized and curated content for the club's social media platforms, resulting in a significant increase in Pheme's Instagram followers during my tenure.

Aug 2021 – May 2022 · 9 mos · IIT Jodhpur

• Oversaw a team comprising 45 Student Guides, 8 Assistant Heads, and 2 Heads, ensuring effective management and coordination.
• Facilitated mentorship programs, aiding Student Guides in supporting mentees with emotional, academic, and office-related concerns.
• Played a pivotal role in organizing significant events like Freshenza'21, Gratitude Day'21, and diverse Mental Health sessions, contributing to the college community's engagement and well-being.

Nov 2020 – May 2021 · 6 mos · IIT, Jodhpur

• Mentored nine individuals from the Junior batch, providing comprehensive support beyond academics, addressing office-related tasks, and personal challenges, fostering holistic growth.
• Played a pivotal role in organizing significant college events like Freshers'20, Gratitude Day'20, and Farewell'20, contributing to the vibrant social atmosphere of the institution.
• Organized meetings that facilitated connections between mentees, seniors, and peers, fostering a closely-knit and supportive community within the fraternity.
• Learned essential life lessons including appreciating diversity, cultivating kindness, managing multiple responsibilities, and enhancing social skills.
• Successfully balanced academic pursuits while simultaneously fulfilling the responsibilities of mentoring nine individuals, and refining time management and multitasking abilities.
• Explored diverse career opportunities within and beyond the fraternity, expanding professional networks while learning about different career paths pursued by peers and alumni.

Feb 2021 – Jun 2021 · 4 mos · Ahmedabad, Gujarat, India

• Crafted SEO-friendly content for various platforms like websites, Instagram, Facebook, and LinkedIn.
• Planned and managed multiple clients' social media accounts, providing original and engaging content.
• Contributed to increased customer acquisition and sales through effective content strategies.
• Acquired knowledge in statistics and analytical marketing methodologies.