Headline

Machine Learning Engineer/ AI Engineer | Python, Deep Learning, GenAI | Building End-to-End ML Systems from Data to Deployment

About

I am a Generative AI / AI Engineer with hands-on experience designing and deploying end-to-end AI systems powered by Large Language Models (LLMs), speech technologies, and agent-based architectures. My work spans building production-oriented solutions such as speech-to-speech conversational systems, AI agents with function calling, and Retrieval-Augmented Generation (RAG) pipelines. I focus on creating systems that are not just functional prototypes, but scalable, reliable, and aligned with real-world use cases. I have practical experience integrating and evaluating STT/TTS models, orchestrating LLM workflows, and designing modular agent architectures. My approach emphasizes structured pipelines, observability, and performance optimization across the AI stack. Core expertise includes: • Generative AI and LLM-based system design • AI agents, function calling, and MCP-based workflows • Speech-to-Text (STT) and Text-to-Speech (TTS) systems • Retrieval-Augmented Generation (RAG) and embeddings • Python, NLP, and data processing pipelines I am particularly interested in advancing production-grade GenAI systems, agent orchestration, and scalable AI infrastructure. Open to opportunities as a Generative AI / AI Engineer where I can contribute to building robust, real-world AI applications.

Location

Indore

Work experience

Artificial Intelligence Engineer at JS TechAlliance Consulting Private limited, Nov 2024 - Dec 2025 · 1 yr 2 mos, Indore, Madhya Pradesh, India, • Worked on building a speech-to-speech AI bot by integrating multiple Speech-to-Text (STT) and Text-to-Speech (TTS) models. • Evaluated and experimented with different STT and TTS models to compare latency, accuracy, and response quality. • Explored and tested multiple Large Language Models (LLMs) for conversational and task-oriented use cases. • Designed and implemented function-calling systems for AI agents, enabling structured task execution. • Built AI agents such as a travel planning agent and an HR assistant bot using LLM-driven workflows. • Worked with MCP (Model Context Protocol) servers to manage tool usage and agent context effectively. • Gained hands-on experience with end-to-end AI system development, from model experimentation to agent-level integration. Tech Stack: Python, LLMs, STT/TTS, AI Agents, Function Calling, MCP Servers

Data Science Intern at Thinkovate, May 2024 - Oct 2024 · 6 mos, Mumbai, Maharashtra, India, • Built a web scraping pipeline to crawl and extract data from multiple web pages using Python. • Cleaned and processed scraped data to make it suitable for downstream NLP tasks. • Generated embeddings from the collected data and stored them for efficient retrieval. • Implemented a Retrieval-Augmented Generation (RAG) based chatbot using the scraped knowledge base. • Worked on improving response relevance by tuning chunking, embeddings, and retrieval strategies. • Gained hands-on experience with real-world data collection, preprocessing, and AI-powered chat systems. Tech Stack: Python, Web Scraping, NLP, Embeddings, RAG, Vector Databases

Education

Master of Technology - MTech, Big data analytics, Devi Ahilya Vishwavidyalaya (DAVV), Indore

Bachelor of Technology - BTech, Computer science and engineering (AIML), Shri Shankaracharya Technical Campus