AI/ML Solutions Specialist - Aman Gupta
Location: Jaipur, Rajasthan, India
Contact: Gupta.aman2303@gmail.com | +91 7014922925
About Me:
With 2.5 years of professional experience in AI/ML, I specialize in delivering innovative, scalable solutions across various domains such as Machine Learning, Deep Learning, Computer Vision, and Generative AI. My expertise includes developing speech-to-speech chatbots, fine-tuning large language models, and advancing computer vision projects. Passionate about cutting-edge AI technologies, I aim to contribute to businesses by creating impactful solutions that enhance customer experiences and drive growth.
Key Expertise:
1. Generative AI & LLMs: Skilled in training and fine-tuning GANs, LLMs, and Retrieval Augmented Generation (RAG) pipelines to optimize natural language interactions.
2. Computer Vision: Specialized in image processing, object detection, and segmentation using state-of-the-art models like YOLO, MaskRCNN, and UNet.
3. AI Infrastructure: Experienced in deploying AI systems using Docker, Kubernetes, and CI/CD pipelines for streamlined operations.
4. Cloud & Databases: Adept at leveraging cloud platforms (AWS SageMaker, Google Colab) and managing databases (PostgreSQL, MongoDB, Redis) to handle large-scale AI/ML projects.
5. Natural Language Processing (NLP): Expertise in building NLP models for sentiment analysis, hate speech detection, and conversational AI using frameworks like RASA and LangChain.
Service Offerings:
1. AI Chatbot Development:
- Build intelligent, conversational chatbots with features like Speech-to-Text (STT), Text-to-Speech (TTS), and LLM-based interactions.
- Customized persona chatbots designed to deliver personalized experiences using GPT-3 Turbo and Llama models.
2. Computer Vision Solutions:
- Create and deploy models for object detection, image segmentation, and synthetic data generation using GANs and other advanced architectures.
- High-end image retouching and pose estimation systems tailored for real-time applications.
3. Generative AI and Image Processing:
- Develop GAN-based models for tasks like image-to-image translation, enhancing visual quality and generating realistic textures.
- Utilize state-of-the-art generative models to create custom synthetic datasets for various applications.
4. ML/DL Model Optimization:
- Optimize and fine-tune deep learning models to enhance system performance and accuracy for specific use cases like satellite image processing and diabetic retinopathy detection.
5. AI System Deployment & Integration:
- Streamline deployment processes with Docker, Kubernetes, and CI/CD pipelines.
- Build scalable AI applications using cloud platforms, ensuring smooth integration with existing systems.