Kunal Kumar Email and Phone Number
Kunal Kumar work email
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Kunal Kumar personal email
With 3+ years of industry experience and 2 years of academic research, I am a machine learning researcher and a MS CS student at the University of Massachusetts Amherst. My mission is to develop and apply cutting-edge techniques for natural language processing and model compression, and to solve real-world problems with artificial intelligence.Currently, I am working on deep learning systems for quantizing and optimizing large language models, resulting in significant reductions in model size and increases in inference speed. I have also collaborated with Oracle Labs and AMD on projects involving ground learning and post-training quantization of LLMs, respectively. As a technology enthusiast and a lifelong learner, I am passionate about exploring new technologies, enhancing my skills, and making an impact.Moreover, I am "Open" to full-time roles in ML/AI and SDE domain. My expertise is in LLMs, GenAI, NLP, and CV for ML/AI roles and frontend & full-stack technologies for SDE roles.
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Machine Learning EngineerAmd Jul 2024 - PresentSanta Clara, California, Us -
Machine Learning InternAmd Jun 2023 - Aug 2023Santa Clara, California, UsAs a part of Machine Learning Solutions Team in Artificial Intelligence Group at AMD, my role in the internship were :• Designed a dockerized pipeline to quantify the efficiency of Post-Training Quantized (PTQ) NLP models, resulting in a 41% & 75% reduction in model size and a 2x & 1.77x speedup in inference for PyTorch & ONNX models.• Fine-tuned LLMs like BERT & Llama on SQuAD and GLUE dataset achieving 85% accuracy for quantization task.• Exported trained weights from Deep Learning Recommendation Model (DLRM) model to ONNX & optimized the model via quantization using AI compiler.• Transformed the model into ONNX format, performed operator analysis, and executed model inference.Exposure: Natural Language Processing(NLP), Computer Vision, Deep Learning, Recommender System, Docker, Linux
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Graduate Student ResearcherOracle Feb 2023 - May 2023Austin, Texas, UsTitle : Operating Software with Grounded Language Agents.Industry : Machine Learning Research Group, Oracle LabsIndustry Mentor : Ari KobrenPhD Mentor : Dhruvesh PatelSupervisor : Prof. Andrew McCallumDetails :• Developed a Grounded Language Learning model using FLAN-T5 LLM in Pytorch for instruction-based finetuning onOracle dataset with a 15% increase in accuracy metrics, including Token F1 and Token Exact Match.• Incorporated various prompting techniques, including Question-Answer, Machine Translation, & Chain-of-Thought toenhance model evaluation with few-shot learning, improving overall model performance by 20%.• Automated dataset creation using web scrapping tools on Oracle documentation streamlining it by 85%.Exposure: Python, NLP, LLM, Pytorch, Transformers, TensorFlow, Embeddings, Web Scrapping -
Associate Software EngineerJpmorgan Chase & Co. Feb 2021 - Jul 2022New York, Ny, Us• Orchestrated successful project deliveries within CI/CD practice, yielding in a 20% enhancement in project delivery efficiency and a 10% surge in production stability collaborating with the Risk & Forecasting Solutions team.• Automated the generation of Value at Risk (VaR) and Stress numbers using Python, improving data calculation accuracy and reducing manual effort by 70%.• Optimized code deployment workflow through parallel processing strategies by 25% & improving overall performance.• Generated synthetic data using Random Forest model, significantly boosting the precision of historical VaR calculations.• Implemented a time series model for VaR calculation & backtesting, accurately forecasting volatility & estimating VaR under extreme conditions. -
Software Engineer 1Jpmorgan Chase & Co. Jul 2019 - Jan 2021New York, Ny, Us
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Summer Research InternIndian Institute Of Information Technology May 2017 - Jul 2017Allahabad, Uttar Pradesh, InSummer Research Internship in SILP(Signal Processing, Image Processing, and Language Processing) Lab.Project : Development of a syllable based unit selection method for Hindi text to speech generation. (A part of Dialogue System)About : This was 2 months of research internship under SILP Lab. The key area to focus was Natural Language Processing, Machine Learning, Database Management and Semantic Web. Overall task was to create a system where if user feed a question than the system will apply all the ML and NLP tools to extract the key words by data cleansing, data enhancement and format it. The formatted data is matched was managed with SparQL and semantic web to produce a result to be outputted and displayed to the user. Tools : Python3, NLTK, Pandas, Numpy, Semantic Web, SparQL, Etc.
Kunal Kumar Skills
Kunal Kumar Education Details
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University Of Massachusetts AmherstComputer Science -
Indian Institute Of Technology (Banaras Hindu University), VaranasiElectrical And Electronics Engineering
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S.K.P Vidya ViharCbse ( Grade - 92.8% )
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St. Joseph'S SchoolIcse ( Grade - 92% )
Frequently Asked Questions about Kunal Kumar
What company does Kunal Kumar work for?
Kunal Kumar works for Amd
What is Kunal Kumar's role at the current company?
Kunal Kumar's current role is MLE @ AMD | Oracle | JPMC | UMass Amherst | IIT (BHU), Varanasi.
What is Kunal Kumar's email address?
Kunal Kumar's email address is ku****@****ase.com
What schools did Kunal Kumar attend?
Kunal Kumar attended University Of Massachusetts Amherst, Indian Institute Of Technology (Banaras Hindu University), Varanasi, S.k.p Vidya Vihar, St. Joseph's School.
What skills is Kunal Kumar known for?
Kunal Kumar has skills like Leadership, Artificial Neural Networks, Systems Design, Powerpoint, Distributed Systems, Amazon Web Services, Public Speaking, Data Science, C, Unit Testing, Object Oriented Programming, Matlab.
Who are Kunal Kumar's colleagues?
Kunal Kumar's colleagues are Rick Murray, David Wu, Ravi Paramar, Babu Rahman, Sunil Satpute, Teri Keels, Joanne Taylor.
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