I'm a Machine Learning Engineer with expertise in LLMs, RAG systems, and cloud infrastructure. Currently pursuing my Master's in Software Engineering Systems at Northeastern University, Boston.
- π I'm currently working on building intelligent RAG pipelines and fine-tuning LLMs
- π± I'm exploring the latest advances in multimodal AI solutions and generative models
- π¬ Ask me about AI, ML, Big Data, and Cloud Technologies
- π Currently in Boston, MA
- π« How to reach me: [email protected]
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Master of Science in Software Engineering Systems (GPA: 3.80/4.0)
Northeastern University, Boston, MA | 2023 - Present -
Bachelor of Technology in Computer Science and Engineering (CGPA: 8.02/10.0)
Institute of Technology, Nirma University, India | 2019 - 2023
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Machine Learning Engineer Intern at The American Board of Anesthesiology
Raleigh, USA | August 2024 - Present -
Graduate Research Assistant at Northeastern University
Boston, USA | June 2024 - August 2024 -
Software Development Engineer at IQSpatial
New York, USA | February 2023 - August 2023
- AI/ML Stack: LLMs (GPT-4, Llama2/3, Mistral3), RAG, Vector DBs, Statistical Modelling
- AI/ML Frameworks: PyTorch, LangChain, TensorFlow, OpenAI, Ollama, HuggingFace, H2O.AI
- Big Data & Databases: Spark, Hadoop, Dask, Pandas, NumPy, MongoDB, PostgreSQL
- Cloud & Infrastructure: Azure AI Studio, Azure OpenAI, Azure ML Studio, AWS
- SmartMed: AI-Powered Medical Note Summarization using fine-tuned Llama2-7B
- Pneumonia Detection: Enhanced X-ray classification with distributed computing
- Carbon Emission Forecasting: ML-based environmental impact prediction with 99% accuracy