IFRA JABIN

• Engineered a multi-layer BI platform that enables organizations to generate actionable business insights from their own data, transforming raw datasets into strategic decision-support tools.
• Implemented dynamic KPI generation by leveraging AI to analyze and understand business data structures, automatically identifying key performance indicators tailored to each organization's domain and objectives.
• Built interactive, data-driven dashboards with real-time visualization capabilities, enabling stakeholders to explore trends, drill into metrics, and make informed decisions through intuitive visual interfaces.
• Designed and deployed ETL pipelines using Azure Fabric for data-driven reporting and decision-support dashboards.

Environment: Python, React, Agentic AI, Claude Opus4-6

• Developed real-time biometric data collection and symptom monitoring pipelines enabling early detection of critical health changes for patients with chronic conditions.
• Built AI models using Scikit-Learn and TensorFlow for patient risk stratification and anomaly detection in biometric data streams, helping prevent health issues from escalating into emergencies.
• Engineered backend services to immediately coordinate with the physician's office when a critical change is detected, ensuring timely intervention.
• Designed the system to reduce ER visits and hospital readmissions by remotely monitoring at-risk patients and enabling proactive healthcare delivery.

Environment: Django REST Framework, PostgreSQL, Scikit-Learn, TensorFlow, Python, Arli AI - Gemma-3-27B-ArliAI-RPMax-v3

• Integrated machine learning models using Scikit-Learn and AWS Bedrock (Claude, Titan) into an AI-Native insurance platform to analyze risk profiles, generate policy recommendations, and ensure regulatory adherence.
• Built NLP-powered document processing pipelines using LangChain and AWS Bedrock for automated policy analysis and claim extraction.
• Developed intelligent sales solutions and smart underwriting capabilities that significantly reduced manual underwriting time and improved decision accuracy.
• Implemented automated compliance monitoring features ensuring adherence to insurance regulatory requirements.

Environment: AWS Services (Lambda, S3, Bedrock), LangChain, Scikit-Learn, Python, Anthropic – Claude Sonnet 4.5, Claude Haiku

• Designed and developed an AI-powered application to streamline the analysis of drug reactions documented in various medical journals.
• Developed NLP pipelines using OpenAI GPT-4 API to extract crucial data from unstructured medical literature and automatically generate comprehensive case reports.
• Built backend services using Django REST Framework to transform raw medical literature into structured, actionable case documentation.
• Implemented MySQL database schema for structured storage and retrieval of medical literature data, reducing manual report generation time significantly.

Environment: Django REST Framework, MySQL, OpenAI API (GPT-4), Python

• Developed a resume screening application leveraging OpenAI GPT-4 to automate the process of sorting and ranking resumes by entering valid hiring queries.
• Implemented NLP techniques for semantic matching and relevance scoring to enhance the accuracy and efficiency of candidate selection.
• Built backend APIs using Django REST Framework for resume parsing, analysis, and criteria-based matching logic.
• Designed the system to process large applicant pools in a fraction of the traditional time, saving valuable resources for HR professionals.

Environment: Django REST Framework, MySQL, OpenAI API (GPT-4)

• Engineered an end-to-end video-to-text transcription application that converts video content to structured, accessible text through a multi-stage pipeline.
• Implemented Video to Audio conversion, Audio Enhancement, Audio Segmentation, and Text Extraction modules using open-source Python libraries and Hugging Face Whisper model.
• Integrated Hugging Face Transformer models for high-accuracy speech-to-text transcription and text refinement.
• Built RESTful APIs using Django REST Framework for handling video uploads, processing workflows, and delivering transcribed output.

Environment: Django REST Framework, MySQL, OpenAI API, Hugging Face (Whisper)