09/28/2026 updated
VD
100 % available
AI/ML Engineer & Researcher | Deep Learning | Backend Development | Computer Vision
Kapadwanj, India
Only remote
M.E. in Information Technology (ongoing, 2024-2026), L.D. College of Engineering (GTU)DjangoPython (Programming Language)FastAPIApi Design
Deep Learning & Medical Image Classification
Expertise in designing depth-reduced deep learning architectures for multiclass classification of medical images, benchmarked against VGG16, ResNet50, and DenseNet121 on the Kvasir dataset. Proficiency in applying models such as XGBoost for WCE image classification and gastrointestinal abnormality detection.
Backend Development with Python & FastAPI
Strong command of Python-based backend development using FastAPI, SQLAlchemy 2.0 (async), Django, and PostgreSQL. Experience building API endpoints, migrations, asynchronous processing with Celery/Redis, and JWT-based authentication systems.
AI/ML Engineering & LLM Pipelines
Hands-on experience with LangGraph orchestration, RAG pipelines, FAISS vector indexing, sentence-transformers, and Gemini API integration. Development of autonomous AI agents and semantic search systems for production-grade applications.
Computer Vision
Applied knowledge in computer vision techniques including image feature extraction, segmentation, and classification pipelines for medical imaging workflows.
Optimization & Scheduling (CPLEX)
Experience with school-scheduling optimization using CPLEX, including hard/soft constraint handling and horizon expansion within context-rich architectures.
React & TypeScript Frontend Development
Ability to build interactive frontend applications using React and TypeScript, including spatial canvas-based research management platforms with @xyflow/react.
Database Management & Infrastructure
Proficiency in PostgreSQL, Alembic migrations, JWT-based auth systems, and version control with Git/GitHub/GitLab.
Software Engineering Practices
Application of modular and layered architecture, testability with pytest, and industry-standard software design patterns in production-grade projects.
MLOps & Cloud AI Tools
Certified in Machine Learning Operations with Vertex AI (Google Cloud Skills Boost) and Generative AI Fundamentals (Databricks Academy), with practical experience in model evaluation and prompt design.
Expertise in designing depth-reduced deep learning architectures for multiclass classification of medical images, benchmarked against VGG16, ResNet50, and DenseNet121 on the Kvasir dataset. Proficiency in applying models such as XGBoost for WCE image classification and gastrointestinal abnormality detection.
Backend Development with Python & FastAPI
Strong command of Python-based backend development using FastAPI, SQLAlchemy 2.0 (async), Django, and PostgreSQL. Experience building API endpoints, migrations, asynchronous processing with Celery/Redis, and JWT-based authentication systems.
AI/ML Engineering & LLM Pipelines
Hands-on experience with LangGraph orchestration, RAG pipelines, FAISS vector indexing, sentence-transformers, and Gemini API integration. Development of autonomous AI agents and semantic search systems for production-grade applications.
Computer Vision
Applied knowledge in computer vision techniques including image feature extraction, segmentation, and classification pipelines for medical imaging workflows.
Optimization & Scheduling (CPLEX)
Experience with school-scheduling optimization using CPLEX, including hard/soft constraint handling and horizon expansion within context-rich architectures.
React & TypeScript Frontend Development
Ability to build interactive frontend applications using React and TypeScript, including spatial canvas-based research management platforms with @xyflow/react.
Database Management & Infrastructure
Proficiency in PostgreSQL, Alembic migrations, JWT-based auth systems, and version control with Git/GitHub/GitLab.
Software Engineering Practices
Application of modular and layered architecture, testability with pytest, and industry-standard software design patterns in production-grade projects.
MLOps & Cloud AI Tools
Certified in Machine Learning Operations with Vertex AI (Google Cloud Skills Boost) and Generative AI Fundamentals (Databricks Academy), with practical experience in model evaluation and prompt design.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Django backend work for lead-management and education-platform workflows (Wise Agent / Educem Platform). API endpoints, migrations, local data setup. WhatsApp Business webhook flow, lead-interaction normalization, and asynchronous processing with Celery/Redis. School-scheduling optimization using CPLEX (Brightmont-Optimizer), hard/soft constraint handling and horizon expansion, scheduling codebase and context-rich architecture work.
Designing depth-reduced deep learning architectures for multiclass classification of medical images, benchmarked against VGG16, ResNet50, and DenseNet121 on the Kvasir dataset. Government-funded thesis research.
Designed a multi-tenant, spatial canvas-based AI/ML research management platform built on a 10-entity DAG ontology. Built on FastAPI, SQLAlchemy 2.0 (async), PostgreSQL, Alembic, and a React/TypeScript frontend for interactive research mapping.