My Resume
➤ I'm currently working as a Researcher 4 - LLMs at Cornell. Specifically in the domains related to Generative AI, Large Language Models(LLMs), Reinforcement Learning (RL), Multi-Agent AI Systems, Retrieval Augmented Generation(RAG) and Retrieval Interleaved Generation (RIG).
➤ Previously, as a Senior Applied Scientist at Oracle Cloud AI, I worked in the realms of Language, Vision and Forecasting where I've also filed 8 Patents in areas of Generative AI & LLMs
➤ Prior to that, I've worked as a Senior Machine Learning Scientist at Cargill Digital Labs and productionalized various Deep Learning models like Image Denoising, Label Segmentation, Synthetic Data Generation for NER, Self-Genarative Chatbot Models and Semantic Search from Documents.
➤ I've been a Data Scientist at Cogoport. Developed many Machine Learning and Deep Learning projects along with the Data Processing Engine from scratch.
➤ I was a Full Stack Developer at Airtel Payments Bank. Developed 2 ML projects from scratch and worked on some Back-end, Front-end projects as well.
➤ Completed 2 internships while I was pursuing Bachelors. One was with RedCarpet as a Machine Learning Intern and the other one was with KATE Technologies as an Android Application Development Intern.
➤ Masters in Computer Science from Cornell University - Grade: 4.0/4.0
➤ During Masters, I've worked as a Research Assistant at Gao Labs advised by Dr. Xinlai Liu
➤ B.Tech in Computer Science from ITM University, Gwalior. Ranked 1st in entire CS Department - Grade: 8.76/10.0
➤ During Bachelors, I've worked as a Teaching Assistant for AI/ML and Data Science and was offered the Vice-Chancellor Scholarship for the Best Project.
➤ Completed TensorFlow Developer Specialization consisting of 4 courses from Coursera.
➤ Completed Machine Learning with TF on GCP Specialization consisting of 5 courses from Coursera.
➤ Aced Data Scientist Track consisting of 22 courses from DataCamp.
➤ Please refer to the links on left for many more completed certifications.
➤ Generative AI: LLMs(Llama, Gemma, Mistral, MPT, GPT, Qwen, etc.), Langchain, LlamaIndex, VLMs(Pixtral, Stable Diffusion, etc), PEFT, LoRA, Quantization, Pruning, Knowledge Distillation, RLHF, RLAIF, Distributed Multi-Node Multi-GPU Training, DeepSpeed.
➤ Programming Languages: Python, Java, MySQL, JavaScript, TypeScript, C/C++, HTML.
➤ Libraries: PyTorch, TensorFlow, DeepSpeed, TGI, vLLM, ONNX, Keras, OpenCV, Scikit-Learn, RASA & more.
➤ Messaging Queues and Databases: RabbitMQ, Apache Kafka, Redis, Postgres, MySQL, Oracle, MongoDB, Aerospike, RocksDB, Druid.
➤ Software Skills: Apache Flink, Debezium, New Relic, GIT, Android Studio, Jupyter Notebook, Google Colab, Kubernetes.
➤ Frameworks: JAX, MXNet, TensorRT, Triton, KubeFlow, FastAPI, MLFlow, Django, Flask, Spring MVC, Apache Airflow, Spring Boot.