Ankit Chauhan Email & Phone Number

Indianapolis, In, Us

Indianapolis, Indiana, United States

- Supporting 30+ students in the H518 Deep Learning course through assignment grading, lab sessions, and classroom discussions.- Collaborating on lesson plans covering key deep learning topics, including GANs, CNNs, LSTMs, BERT, Transformers, Autoencoders, Reinforcement Learning, and Transfer Learning.

Indianapolis, Indiana, United States

As the Chief Financial Officer of the Graduate and Professional Student Government (GPSG) at Indiana University Indianapolis, I manage the financial operations with a focus on responsible budgeting, transparent accounting, and maximizing the impact of student dollars. My core responsibilities include:- Manage GPSG’s $85,000 annual budget efficiently, allocating funds to scholarships, programming, supplies for bi-weekly general assembly meetings, operational expenses, and the Elite 50 event.- Streamlining and overseeing the process for funding, managing over $14,000 in sponsorship and initiative requests.- Planning and executing fundraising efforts to secure additional resources to support student activities, scholarships, and other high impact initiatives.- Working closely with student groups, university departments, and external partners to align financial strategies with GPSG's goals.- Serving on the IU Indianapolis Funding Board, helping allocate $230,000 in annual grants to graduate and undergraduate student organizations for events and professional development through Education Enhancement Grants.- Ensuring all financial transactions adhere to university policies and ethical standards, maintaining rigorous financial records to guarantee transparency and trust in all operations.

Indianapolis, Indiana, United States

- Contributed to the collection and preprocessing of culturally rich training data from community focus groups and educational sources for the NSF-funded RAPID project.- Prepared and transformed data using LangChain into formats suitable for training.- Set up the computational infrastructure for fine-tuning models like LLaMA 3, Phi-3 using Indiana University's High-Performance GPU clusters.- Executed the fine-tuning process with the RAG framework, utilizing LlamaIndex to index and retrieve the most relevant and high quality chunks, hence improving the model's cultural relevance and accuracy.- Monitored training metrics and adjusted model hyperparameters for best results using knowledge graph embeddings.- Developed APIs and interfaces for the integration of the chatbot with LangChain.- Analyzed chatbot interactions and feedback and made necessary adjustments to enhance cultural responsiveness and inclusivity, ultimately contributing to culturally relevant lesson plans.

Mumbai, Maharashtra

Mumbai Area, India

Master'S Degree, Applied Data Science, 4.0

Bachelor'S Degree, Information Technology, 9.1