11/03/2026 updated
100 % available
AI/ML Engineer | Generative AI | Computer Vision | RAG Solutions
Ahmedabad, India
Worldwide
Bachelor of Engineering in Information TechnologyArtificial IntelligenceComputer VisionMachine LearningOpenCVTensorFlowFeature EngineeringPyTorchPrompt EngineeringDeep LearningGenerative AIMachine Learning OperationsArtificial Intelligence Markup Language (AIML)
Generative AI & RAG Pipelines
Expertise in building Retrieval-Augmented Generation (RAG) architectures using LangChain, LLMs, Prompt Engineering, AI Agents, and Function Calling to develop intelligent, context-aware AI applications.
Machine Learning & Deep Learning
Proficiency with Scikit-learn, PyTorch, TensorFlow, XGBoost, and OpenCV for developing and deploying scalable machine learning and deep learning models.
Computer Vision
Hands-on experience in Image Classification, Object Detection, OCR, and Image Processing, including real-time systems using OpenCV and MediaPipe for touchless human-computer interaction.
Python & SQL Programming
Strong programming foundation in Python and SQL, applied across AI/ML development, backend services, and data processing workflows.
Full Stack Integration
Experience building and integrating backend services using FastAPI, MongoDB, and MySQL, delivering scalable and production-ready AI-powered applications.
Data Analysis & Vector Search
Skilled in Pandas, NumPy, Data Preprocessing, Feature Engineering, Semantic Search, and FAISS for data-driven AI solutions.
No-Code AI & Automation
Familiarity with no-code AI tools including n8n, Google Teachable Machine, Edge Impulse, and Google Opal for intelligent automation workflows.
Development Tools & Version Control
Proficient in using Git and GitHub for version control and collaborative software development.
Research & Technical Documentation
Capable of conducting research, technical writing, literature review, and experimental analysis to support AI project development and documentation.
Expertise in building Retrieval-Augmented Generation (RAG) architectures using LangChain, LLMs, Prompt Engineering, AI Agents, and Function Calling to develop intelligent, context-aware AI applications.
Machine Learning & Deep Learning
Proficiency with Scikit-learn, PyTorch, TensorFlow, XGBoost, and OpenCV for developing and deploying scalable machine learning and deep learning models.
Computer Vision
Hands-on experience in Image Classification, Object Detection, OCR, and Image Processing, including real-time systems using OpenCV and MediaPipe for touchless human-computer interaction.
Python & SQL Programming
Strong programming foundation in Python and SQL, applied across AI/ML development, backend services, and data processing workflows.
Full Stack Integration
Experience building and integrating backend services using FastAPI, MongoDB, and MySQL, delivering scalable and production-ready AI-powered applications.
Data Analysis & Vector Search
Skilled in Pandas, NumPy, Data Preprocessing, Feature Engineering, Semantic Search, and FAISS for data-driven AI solutions.
No-Code AI & Automation
Familiarity with no-code AI tools including n8n, Google Teachable Machine, Edge Impulse, and Google Opal for intelligent automation workflows.
Development Tools & Version Control
Proficient in using Git and GitHub for version control and collaborative software development.
Research & Technical Documentation
Capable of conducting research, technical writing, literature review, and experimental analysis to support AI project development and documentation.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
GermanGoodEnglishFluent
Project history
Developed an AI-powered geopolitical intelligence platform with real-time Global Disruption Index, risk scoring, and interactive geospatial supply chain visualization across 195 countries. Engineered an agentic intelligence pipeline to analyze geopolitical events and deliver predictive risk forecasts.
Developed a privacy-preserving Enterprise AI Assistant using RAG architecture with FastAPI, Qdrant vector database, and llama.cpp for secure document retrieval, semantic search, and high-performance on-premise inference.
Developed a real-time Computer Vision system for touchless human-computer interaction using Python, OpenCV, MediaPipe, NumPy, and PyAutoGUI, enabling cursor movement, click, scroll, and drag operations via AI-based hand gesture recognition.
Certificates
Google Ai Foundation
Google2025