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Harsh Desai is listed as Data Scientist @ Johnson Controls | NLP | Azure | RAG | Gen AI | R&D | Ex-ML Engineer @ Infocusp | M.Tech - Machine Learning at Johnson Controls, a company with 63228 employees, based in Pune, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Harsh Desai.
Harsh Desai previously worked as Software Engineer - Data Scientist at Johnson Controls and Machine Learning Engineer at Infocusp Innovations. Harsh Desai holds Master Of Technology - Mtech, Machine Intelligence, 7.9/10 from Dhirubhai Ambani Institute Of Information And Communication Technology.
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*Experienced Data Scientist with 4+ yrs experience in AI/ML & 1+ yrs in Generative AI.*Have strong knowledge in Generative AI, NLP, Machine Learning and Deep Learning.*Have worked using Generative AI tools & frameworks such as LangChain and OpenAI.*Have worked using AI/ML tools & frameworks such as Scikit-Learn, Tensorflow, PyTorch, Keras & TF-Agents. *Have worked using NLP tools such as NLTK, SpaCy & Gensim.*Hands-on using various cloud services such as GCP BigQuery, Google Cloud Storage, AWS EC2, AWS S3, AWS SageMaker, Azure OpenAI.*Analyzed data and visualized using tools such as Python, SQL, Pandas, NumPy and Matplotlib.*Published AI/ML research papers in the top-tier International Journal & Conferences.
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Pune, Maharashtra, India
- Development of efficient Indexing strategies in Azure AI Search Vector DB for a RAG based chatbot using OpenAI and LangChain.- Implementation of Information Extraction pipeline from text and scanned PDF documents using NLP and OCR techniques.
Pune, Maharashtra, India
1. Work on Information Extraction and Text Summarization using OpenAI LLMs.2. Work on building prototype and productizing of simulation software using Test Driven Development (TDD) in Python.3. Perform experiments on simulation optimizations and decision making using reinforcement learning, linear integer programming and other optimization techniques.4..
Gandhinagar, Gujarat, India
Bengaluru Area, India
Gandhi Nagar, Gujarat, India
Other employees you can reach at johnsoncontrols.com. View company contacts for 63228 employees →
Ben Chambellan
Colleague at Johnson ControlsUnited States, United States
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方海玲
Colleague at Johnson ControlsChengdu, Sichuan, China, China
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Lee Williams
Colleague at Johnson ControlsSomerville, Tennessee, United States, United States
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Julius G. Montealegre
Colleague at Johnson ControlsEdmonton, Alberta, Canada, Canada
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Hifzur Rahman
Colleague at Johnson ControlsChadderton, England, United Kingdom, United Kingdom
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Dwarkesh Radadiya
Colleague at Johnson ControlsPune, Maharashtra, India, India
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Leon Leech
Colleague at Johnson ControlsGreater Colchester Area, United Kingdom
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Rosalinda Varela
Colleague at Johnson ControlsUnited States, United States
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Saurabh Gupta
Colleague at Johnson ControlsMumbai, Maharashtra, India, India
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Joshua E. Lewis, Nicet Iii
Colleague at Johnson ControlsGreater Toronto Area, Canada, Canada
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Major courses taken during the program includes: • Pattern Recognition and Machine Learning • Deep Learning • Information Retrieval • Data.
Quick answers generated from the profile data available on this page.
Harsh Desai works for Johnson Controls.
Harsh Desai is listed as Data Scientist @ Johnson Controls | NLP | Azure | RAG | Gen AI | R&D | Ex-ML Engineer @ Infocusp | M.Tech - Machine Learning at Johnson Controls.
Harsh Desai is based in Pune, Maharashtra, India while working with Johnson Controls.
Harsh Desai has worked for Johnson Controls, Infocusp Innovations, Indian Institute Of Technology Gandhinagar, Coviam, and Dhirubhai Ambani Institute Of Information And Communication Technology.
Harsh Desai's colleagues at Johnson Controls include Ben Chambellan, 方海玲, Lee Williams, Julius G. Montealegre, and Hifzur Rahman.
You can use AeroLeads to view verified contact signals for Harsh Desai at Johnson Controls, including work email, phone, and LinkedIn data when available.
Harsh Desai holds Master Of Technology - Mtech, Machine Intelligence, 7.9/10 from Dhirubhai Ambani Institute Of Information And Communication Technology.
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