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 |

New Delhi, Delhi, India

Bhubaneswar, Odisha, India

Bengaluru, Karnataka, India







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

Bachelor of Science - BS, Physics
Utkal University
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π **AI | Machine Learning | NLP | Deep Learning** π 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: β **Machine Learning** β Data-driven solutions for predictive analytics β **Deep Learning** β Neural networks, computer vision, and generative AI β **NLP** β Chatbots, sentiment analysis, and language models β **Python Development** β 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! π #AI #MachineLearning #DeepLearning #NLP #Python #ArtificialIntelligence
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Full Stack Engineer at InOrder- The Health Systems Institute, Apr 2026 - Sep 2026 Β· 5 mo, New Delhi, Delhi, India, 𧬠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. π§ 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. π€ 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). π₯ 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
Master's degree, Computer Science, Siksha 'O'β Anusandhan University
Bachelor of Science - BS, Physics, Utkal University