S Vali

AI Researcher

Chennai, Tamil Nadu, India7 yrs 9 mos experience
AI EnabledHighly Stable

Key Highlights

  • Five years of experience in AI engineering
  • Expertise in developing generative AI solutions
  • Strong track record in deploying ML models
Stackforce AI infers this person is a Generative AI Engineer with expertise in machine learning solutions for diverse industries.

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Skills

Core Skills

Generative AiMachine LearningNatural Language Processing (nlp)

Other Skills

Generative Adversarial Networks (GANs)Variational Autoencoders (VAEs)PythonVector DatabasesRetrieval-Augmented Generation (RAG)Large Language Models (LLM)MLOpsMicrosoft AzureAmazon Web Services (AWS)Custom GPTsOpenAI APILarge Language Model Operations (LLMOps)LLaMALangChainArtificial Intelligence (AI)

About

As an AI Engineer with over five years of hands-on experience in the field, I bring a proven track record of success in developing and deploying cutting-edge machine learning (ML) solutions to solve complex problems and drive business innovation. My expertise encompasses the entire lifecycle of AI/ML projects, from data exploration and model development to deployment and maintenance in production environments. Technical Proficiency: Gen AI: LLMs generative AI AI Agents Agentic AI Large Language Models Python AWS GCP Vector Database GANs, VAEs, OpenAI LlaMa GPTs Langchain LangGraph Crewai Microsoft Autogen phi data RAG Vertex AI Gemini AI Hugging Face Proficient in various machine learning algorithms and techniques, including supervised learning, unsupervised learning, and reinforcement learning. Skilled in programming languages such as Python, R, and SQL, with a deep understanding of data manipulation, feature engineering, and model evaluation. Experienced in leveraging popular ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras to build robust and scalable models. Development and Deployment: Demonstrated ability to collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions. Extensive experience in data preprocessing, model training, and hyperparameter tuning to optimize model performance and accuracy. Proven track record of deploying ML models into production environments using cloud platforms, containerization technologies, and CI/CD pipelines. Problem-Solving and Innovation: Strong analytical and problem-solving skills, with a keen ability to identify opportunities for AI/ML applications and develop innovative solutions to address business challenges. Track record of successfully delivering high-impact projects across diverse industries, including healthcare, finance, e-commerce, and manufacturing. Continuous Learning and Growth: Committed to staying abreast of the latest advancements in AI/ML technologies and best practices through continuous learning, experimentation, and participation in industry events and communities. Passionate about mentoring junior team members, sharing knowledge, and fostering a culture of innovation and collaboration within the organization. In summary, with my five years of experience as an AI Engineer, I bring a unique blend of technical expertise, practical experience, and a passion for innovation to every project. I am excited about the opportunity to leverage my skills and contribute to the success of future AI initiatives.

Experience

Refex group

Generative AI Engineer

Feb 2024Present · 2 yrs 2 mos · Chennai · On-site

  • Key Responsibilities:
  • Designed, developed, and trained generative AI models using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer architectures.
  • Performed data preprocessing, cleaning, and augmentation to prepare high-quality datasets for model training.
  • Implemented evaluation metrics and conducted rigorous testing to assess model performance and identify areas for improvement.
  • Optimized model architectures and hyperparameters to enhance model efficiency, accuracy, and robustness.
  • Collaborated with cross-functional teams (e.g., data scientists, software engineers, product managers) to integrate AI models into production systems and applications.
  • Stayed up-to-date on the latest advancements in generative AI research and implemented new techniques to improve model capabilities.
  • Documented model development processes, including code, experiments, and results, to ensure knowledge transfer and reproducibility.
  • Revolutionizing Customer Support: Building a 24/7 RAG-based Chatbot ⚡️
  • Tired of long wait times and inconsistent customer support? We're building a powerful chatbot to deliver instant, personalized assistance, powered by Retrieval Augmented Generation (RAG) and cutting-edge LLMs!
  • Here's how it works:
  • 🧠 Knowledge Base: We're creating a vast knowledge base of FAQs, product information, and support articles, all accessible to the chatbot.
  • 🔎 Intelligent Retrieval: The chatbot uses advanced search methods to quickly find relevant information based on your questions.
  • 🗣️ Natural Language Generation: The LLM uses its language understanding to generate clear, concise, and natural-sounding responses.
  • This chatbot will be available 24/7, providing your customers with instant answers to their questions and a seamless support experience.
Generative Adversarial Networks (GANs)Variational Autoencoders (VAEs)PythonVector DatabasesGenerative AIMachine Learning

Valuelabs

Data Scientist

Jul 2018Feb 2024 · 5 yrs 7 mos · Hyderabad, Telangana, India · Hybrid

PythonMachine Learning

Education

Annamalai University

Bachelor's degree — Statistics

Jan 2010Present

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