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  Generative AI Engineer with around 9 years of experience designing, developing, and deploying AI-driven solutions using large language models (LLMs), multimodal AI, and deep learning architectures. Proven track record of building end-to-end AI pipelines, optimizing model performance, and integrating Gen AI solutions into enterprise systems. Skilled in retrieval-augmented generation (RAG), prompt engineering, and vector database integration to build intelligent, context-aware AI solutions. Hands-on expertise with OpenAI, Hugging Face Transformers, LangChain, and cloud AI services (AWS SageMaker, Azure AI, Vertex AI). Adept at designing end-to-end AI pipelines, from data preparation and model training to production deployment and performance monitoring. Track record of reducing operational costs and accelerating delivery timelines through AI-driven automation and creative content generation. Strong collaboration skills, working with cross-functional teams to integrate AI capabilities into products and workflows seamlessly. Designed and deployed multi-agent AI systems for complex problem-solving using frameworks like LangChain Agents and Auto-GPT. Experienced in building domain-specific knowledge bases and integrating them with LLMs for context-rich responses. Developed multi-turn conversational AI with memory and personalization for customer engagement platforms. Implemented few-shot and zero-shot learning techniques to improve model adaptability without extensive retraining. Integrated vector search technologies (Pinecone, Weaviate, Chroma) with LLM pipelines for lightning-fast context retrieval. Created custom embeddings and semantic similarity algorithms to enhance AI reasoning and search capabilities. Experienced in cost optimization for LLM-based services, reducing inference costs through quantization and model distillation. Collaborated with data science and product teams to translate AI research into user-facing, revenue-generating solutions. Passionate about advancing Gen AI technologies to enhance personalization, automation, and decision-making at scale. Experienced in fine-tuning and optimizing LLMs (GPT, LLaMA, Mistral) for domain-specific applications, improving accuracy and relevance. Built custom AI-powered chatbots and virtual assistants leveraging RAG, embeddings, and semantic search for enhanced user interaction. Skilled in model evaluation, A/B testing, and implementing feedback loops for continuous AI performance improvement. Implemented scalable AI architectures using Docker, Kubernetes, and CI/CD pipelines for reliable production deployments. Leveraged Whisper and speech models for building real-time transcription, summarization, and voice-based applications.  

Enthusiastic and driven Bachelor’s candidate in Computer Applications with a strong passion for technology, particularly in programming, optimization techniques, and problem-solving. A quick learner who thrives on challenges and values collaboration to develop innovative solutions. Committed to continuous growth through academic pursuits, hands-on projects, and personal learning experiences, consistently seeking opportunities to apply skills in practical settings. Eager to contribute to dynamic teams and tackle complex problems with creativity and determination.

Aspiring data scientist with a strong foundation in Statistics and Mathematics and a Master’s degree in Data Science from IIIT, Lucknow. Experienced in Machine Learning, Natural Language Processing (NLP), and LLM(RAG). Eager to apply AI skills, using data insights to drive innovation and solve problems.

Committed job seeker with a history of meeting company needs with consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.

AKASH SELVAM

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Generative AI With IBM

Prompt Engineering

Python for Beginners

Digital Marketing Certified

Full Stack Developer - Internship

AI Workshop

Introduction to Java

Artificial Intelligence Fundamentals

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Bachelor of Computer Applications - Computer Application

HSC 12th - Commerce