- 🔭 Currently: Tech Lead (AI & Back-End) at Animal Badge Marketing, building GenAI-powered products and cloud-scale backends.
- 🌱 Learning: Graph-based LLMs, Retrieval-Augmented Generation, and serverless MLOps.
- 👯 Open to collab on: Cutting-edge Generative AI, Computer Vision, and Data Engineering open-source projects.
- 🤔 Looking for insight into: Cost-efficient deployment of large multi-modal models.
- 💬 Ask me about: GenAI, ETL pipelines, Flask REST APIs, AWS / GCP architecture, or Datamigrato.
- 📫 Reach me: ritikduttagd@gmail.com · Portfolio
- ⚡ Fun fact: I once coded 48 hours non-stop at a hackathon—and still snagged “Best Prototype”!
- Objective: Develop an AI-powered system to monitor employee productivity and ensure security.
- Features:
- 🔒 Facial Recognition: Verifies that the authorized person is at the workstation.
- 🕵️♂️ Activity Monitoring: Tracks facial expressions and body language to classify activities such as:
- Taking phone calls 📞
- Looking away from the screen 👀
- Sleeping 😴
- Signs of fatigue 😫
- 📊 Data Privacy: Does not store images or videos; only mathematical data is used.
- 🌐 Browser-Based: Lightweight application that runs in the browser.
- ☁️ Data Transmission: Sends activity summaries to a central server in JSON format.
- 🗄️ Database Maintenance: Maintains the database and keeps track of all activities.
- 🔄 CI/CD Pipeline: Maintained with CI/CD pipeline using Docker and AWS EC2.
- 🧠 Cloud Training: Allows training of new faces; the model trains on the cloud itself.
- Technologies Used: TensorFlow, OpenCV, Flask, AWS, NoSQL Databases, Docker, CI/CD Tools.
Discover a new way to prepare for interviews with our AI-Powered Mock Interview Platform. Engage in realistic simulations, receive instant feedback and scores, and enjoy a seamless experience with Google authentication and Firestore database integration, all within a user-friendly Flask-based web app.
- Features:
- 🤖 AI Simulation: Uses OpenAI GPT and Google Gemini models to simulate real interview scenarios.
- 📝 Personalized Feedback: Provides instant feedback and intelligent scoring out of 10.
- 🔒 Secure Authentication: Implements Google OAuth and Flask for secure session management.
- 📊 Progress Tracking: Saves user progress and offers visual indicators for improvement.
- 🌐 User-Friendly Interface: Clean and intuitive design for seamless interaction.
- Technologies Used: Flask, OpenAI GPT, Google Gemini, Firebase Cloud Firestore, Google Cloud Platform.
DataMigrato is a versatile Python package dedicated to simplifying the process of migrating data across multiple databases, including Cassandra, MongoDB, Firebase, and Firestore. Designed with scalability, ease of use, and a well-maintained code structure in mind, it offers a comprehensive solution for various data transfer strategies and optimizations, making it an ideal choice for projects of all sizes and an accessible platform for contributors.
- Features:
- 🗄️ Database Support: Migrate data between Cassandra, MongoDB, Firebase, and Firestore.
- ⚡ Optimized Performance: Advanced data transfer strategies reduce migration time.
- 🛠️ Ease of Use: Simplifies complex schema conversions, CRUD operations, and connection management.
- 🧹 High Code Quality: Well-documented and organized codebase with CI/CD pipelines.
- 🚀 Streamlined Workflow: Reduces complex data migration processes to just three lines of code.
- Technologies Used: Python, CI/CD Tools, NoSQL Databases.
- Objective: Develop a chatbot to manage inventory and track sales for food delivery services.
- Features:
- 🤖 Chatbot Interface: Users can add customers, products, and track orders via chat.
- 📦 Inventory Management: Keeps track of inventory levels in real-time.
- 📊 Sales Analytics: Provides insights into top-selling items and sales trends.
- ☁️ Google Sheets Integration: Updates are reflected in Google Sheets for easy data management.
- 🔗 Telegram Bot: Accessible via Telegram (@Foodtest2bot) for easy interaction.
- Technologies Used: Dialogflow, Telegram API, Python, Google Sheets API.
July 2023 – Present | Ajmer, Rajasthan
- 👨💻 Leading a diverse team specializing in web development, backend cloud deployment, AI/ML development, database management, and marketing strategies.
- 🚀 Developed an employee management solution that manages attendance, task assignment, punctuality, holidays, and other aspects of employee management.
- 🛠️ Implemented robust backend systems to streamline HR processes and improve operational efficiency.
- ☁️ Deployed solutions on cloud platforms ensuring scalability and reliability.
- 🤝 Collaborated with cross-functional teams to integrate the solution into existing workflows.
March 2022 – June 2023 | Bangalore, Karnataka
- 🤖 Developed computer vision models for object detection, face recognition, and image classification using TensorFlow and PyTorch.
- 🛠️ Deployed models to production using Flask, managing data with NoSQL databases.
- 🤝 Collaborated with cross-functional teams to integrate models into larger machine learning pipelines.
- ☁️ Deployed machine learning pipelines on AWS and GCP.
- 🔄 Developed CI/CD pipelines for automated testing and deployment.
- 📈 CWEM Project: Utilized facial recognition to monitor employee productivity, ensuring the right person is at the workstation and automating daily database records.
- 🏅 Ineuron Certified Jenkins Engineer (Dec 2022)
- Credential ID: 0a9b7424-b4c8-40dc-a83e-76c73d15eec6
- 🏅 Machine Learning Bootcamp (Jan 2019) - LearnCodeOnline
- Credential ID: 644711180552410546
- 🍲 Mission: Providing education and nourishment to underprivileged children.
- 🤗 Actively involved in organizing food drives and educational workshops.
- 📝 Published Articles: Contributed insightful articles on AI and Machine Learning.
- Medium: ritikdutta-com.medium.com
- 🎖️ Hackathon Participant: Engaged in multiple hackathons focusing on AI solutions.
- 🤖 IoT and Robotics Enthusiast
- ✏️ Sketch Artist
- 📖 Story Writer
- 🎮 Game Designer
💡 "Innovation distinguishes between a leader and a follower." – Steve Jobs