Available for Opportunities

Hi, I'm Hemanth Sai Manne

AI Scientist & Innovator

Bridging software engineering and artificial intelligence. Specialized in Generative AI, LLM/SLM fine-tuning, Vision-Language Models, and building scalable multimodal AI solutions.

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Professional Summary

Innovative and results-driven AI Scientist with over 5 years of engineering experience bridging software development and artificial intelligence. I possess deep expertise in developing, training, and deploying scalable machine learning models.

My core focus lies in Computer Vision, Natural Language Processing (NLP), and Generative AI. I am highly skilled in multimodal AI, including the fine-tuning of Large and Small Language Models (LLMs/SLMs) and Vision-Language Models (VLMs).

I am adept at utilizing containerization and transitioning monolithic systems to microservices architectures to deliver robust, high-performance AI solutions from the data center to the edge.

5+ Years Experience
GenAI LLMs, SLMs & VLMs
Scale Microservices & Docker

Core Competencies

Generative AI & LLMs

LLMs & SLMs LoRA / PEFT Vision-Language Models (VLMs) RAG Architecture

AI & Machine Learning

Computer Vision NLP Pipelines Deep Learning TensorFlow

Infrastructure & DevOps

Docker Containerization Microservices Model Deployment Edge Computing

Programming

Python (Advanced) Software Architecture API Integration

Professional Experience

AI Scientist

iAssist Innovations Labs | India

June 2022 – Present
  • Architected and deployed Retrieval-Augmented Generation (RAG) applications, integrating LLMs with domain-specific knowledge bases to build context-aware AI assistants and advanced enterprise search tools.
  • Lead the fine-tuning of LLMs and SLMs to optimize performance for highly specific domain tasks while minimizing computational overhead and latency.
  • Develop and integrate Vision-Language Models (VLMs) to enable advanced multimodal capabilities, bridging CV and NLP for complex tasks like visual question answering and image-to-text generation.
  • Design, train, and deploy advanced machine learning models for enterprise applications using Python and deep learning frameworks.
  • Implement state-of-the-art Computer Vision solutions for real-time object detection, image classification, and visual processing.
  • Develop NLP pipelines to extract actionable insights and automate data-driven workflows.
  • Optimize AI model inference and deployment across diverse environments (data center to edge devices).
  • Containerize ML applications and APIs using Docker for seamless scalability.

Assistant System Engineer

Tata Consultancy Services (TCS) | Hyderabad, India

October 2020 – February 2022
  • Contributed to the full software development lifecycle, building and maintaining robust enterprise-level applications.
  • Assisted in modernizing legacy systems by applying software architecture best practices, transitioning monolithic applications into scalable microservices.
  • Collaborated cross-functionally with QA and product teams to troubleshoot systems, optimize code performance, and deliver high-quality software releases.

Education

Bachelor of Technology (B.Tech)

Electronics and Communication Engineering (ECE)

Vignan's University

2016 – 2020

Certifications

Natural Language Processing in TensorFlow

AI From the Data Center to the Edge – An Optimized Path Using Intel® Architecture

Software Architecture: Breaking a Monolith into Microservices