Deepak kumar Sahoo. profile photo 1 on Tal

Deepak kumar Sahoo.

AI/ML | Deep Learning |FHIR API | NLP |Agentic AI | Azure | Gcp | MCP | Vertex AI | AutoML | fastAPI | Docker | supabase | vercel | Hugging Face | streamlit | Gradio | Git Hub | git | Faiss | pinecone | OpenCV |

Bengaluru

2+ years of work experience

InOrder- The Health Systems Institute
Apr 20265 moSep 2026

New Delhi, Delhi, India

🧬 AI Model Development & Deployment Design and implement machine learning and deep learning models for healthcare data analysis (EHRs, imaging, genomics). Develop and fine-tune LLMs for tasks such as clinical summarization, medical Q&A, and decision support. Build and deploy agentic AI systems that autonomously perform multi-step healthcare workflows. 🧠 Data Analysis & Insights Analyze structured and unstructured healthcare data to generate actionable insights. Apply NLP techniques to extract information from clinical notes, reports, and research papers. Develop predictive models for disease risk, patient outcomes, and treatment optimization. πŸ€– Agentic AI Systems Design AI agents capable of: Multi-step reasoning Tool usage (APIs, databases) Workflow automation in clinical pipelines Integrate agents into healthcare applications (diagnostics, triage, drug discovery). πŸ₯ Healthcare Integration Collaborate with clinicians, researchers, and product teams to align AI solutions with real-world needs. Ensure compliance with healthcare regulations (HIPAA, GDPR where applicable). Translate medical requirements into scalable AI solutions.
Enzyvo BioProducts Private Limited
Apr 20241 yr 10 mosJan 2026

Bhubaneswar, Odisha, India

Assisted in developing machine learning models for biotech-related data analysis. Worked on data preprocessing, feature engineering, and model training to support R&D projects. Collaborated with the technical team to automate workflows using Python, TensorFlow/PyTorch, and REST APIs. Supported documentation, reporting, and testing of AI-driven solutions for internal use. Contributed to research discussions and helped implement new ML techniques for product innovation.
Palle Technologies
Sep 20237 mosMar 2024

Bengaluru, Karnataka, India

Deepak’s AI Stack

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claude code
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deepseek
deepseek
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Education

Siksha 'O'​ Anusandhan University

Master's degree, Computer Science

Siksha 'O'​ Anusandhan University

20212 yrs2023
Utkal University

Bachelor of Science - BS, Physics

Utkal University

20183 yrs2021

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Headline

AI/ML | Deep Learning |FHIR API | NLP |Agentic AI | Azure | Gcp | MCP | Vertex AI | AutoML | fastAPI | Docker | supabase | vercel | Hugging Face | streamlit | Gradio | Git Hub | git | Faiss | pinecone | OpenCV |

About

πŸš€ **AI | Machine Learning | NLP | Deep Learning** πŸš€ Passionate about leveraging **Python, AI, and Machine Learning** to solve real-world challenges. With expertise in **Deep Learning and Natural Language Processing (NLP)**, I build intelligent systems that drive innovation and efficiency. I specialize in: βœ… **Machine Learning** – Data-driven solutions for predictive analytics βœ… **Deep Learning** – Neural networks, computer vision, and generative AI βœ… **NLP** – Chatbots, sentiment analysis, and language models βœ… **Python Development** – Scalable and optimized AI applications I thrive at the intersection of **data, algorithms, and business impact**, constantly exploring new advancements in AI to stay ahead in this fast-evolving landscape. Let's connect and discuss how AI can transform industries! πŸš€ #AI #MachineLearning #DeepLearning #NLP #Python #ArtificialIntelligence

Location

Bengaluru

AI stack

claude code

claude

deepseek

hugging face

langchain

langgraph

Work experience

Full Stack Engineer at InOrder- The Health Systems Institute, Apr 2026 - Sep 2026 Β· 5 mo, New Delhi, Delhi, India, 🧬 AI Model Development & Deployment Design and implement machine learning and deep learning models for healthcare data analysis (EHRs, imaging, genomics). Develop and fine-tune LLMs for tasks such as clinical summarization, medical Q&A, and decision support. Build and deploy agentic AI systems that autonomously perform multi-step healthcare workflows. 🧠 Data Analysis & Insights Analyze structured and unstructured healthcare data to generate actionable insights. Apply NLP techniques to extract information from clinical notes, reports, and research papers. Develop predictive models for disease risk, patient outcomes, and treatment optimization. πŸ€– Agentic AI Systems Design AI agents capable of: Multi-step reasoning Tool usage (APIs, databases) Workflow automation in clinical pipelines Integrate agents into healthcare applications (diagnostics, triage, drug discovery). πŸ₯ Healthcare Integration Collaborate with clinicians, researchers, and product teams to align AI solutions with real-world needs. Ensure compliance with healthcare regulations (HIPAA, GDPR where applicable). Translate medical requirements into scalable AI solutions.

AI/ML Engineer at Enzyvo BioProducts Private Limited, Apr 2024 - Jan 2026 Β· 1 yr 10 mos, Bhubaneswar, Odisha, India, Assisted in developing machine learning models for biotech-related data analysis. Worked on data preprocessing, feature engineering, and model training to support R&D projects. Collaborated with the technical team to automate workflows using Python, TensorFlow/PyTorch, and REST APIs. Supported documentation, reporting, and testing of AI-driven solutions for internal use. Contributed to research discussions and helped implement new ML techniques for product innovation.

Python Developer at Palle Technologies, Sep 2023 - Mar 2024 Β· 7 mos, Bengaluru, Karnataka, India

Education

Master's degree, Computer Science, Siksha 'O'​ Anusandhan University

Bachelor of Science - BS, Physics, Utkal University