09/23/2026 updated
100 % available
Lead AI Engineer | Machine Learning & LLM Specialist
Bangalore, India
Worldwide
B.Tech in Mechanical Engineering with Minor in Machine Learning, IIT Kanpur (2017-2021)About me
Lead AI Engineer with 5+ years in LLMs, Generative AI, Computer Vision & MLOps. Expert in LLM fine-tuning, RAG, AI agents, VLMs, OCR, embeddings, and production AI. I build scalable AI solutions from prototype to deployment.
AI AgentsRAGLLMMachine LearningNatural Language ProcessingTensorFlowFeature EngineeringPyTorchLarge Language ModelsDeep LearningBackendSpark MLlibScikit LearnMachine Learning OperationsTerraform
Large Language Models (LLM) & AI Development
Expertise in architecting and developing LLM-powered platforms leveraging language understanding, semantic retrieval, and fine-tuning techniques such as LoRA. Experience with GPT, Mixtral, Llama, Qwen3.5-VL, and RAG-based AI agents for real-world applications in healthcare and finance.
Machine Learning & Deep Learning
Strong background in machine learning and deep learning using TensorFlow, PyTorch, SciKit Learn, and Keras. Hands-on experience with computer vision, NLP, named entity recognition, embedding models, and real-time ML pipeline development.
MLOps & Cloud Infrastructure
Proficiency in building and managing MLOps pipelines using AWS, Kubeflow, MLflow, Docker, Terraform, and Jenkins for CI/CD. Experience automating model training, testing, deployment, and monitoring for scalable machine learning workflows.
3D Computer Vision & NeRF
Research and development of 3D computer vision models based on NeRF technology for 3D object representations, including Mesh UV unwrapping with SAM and 2D image segmentation mapped to 3D meshes.
Web & Backend Development
Solid skills in React, JavaScript, CSS, HTML, Python, Django, Flask, FastAPI, and REST APIs for building full-stack and backend applications integrated with ML models.
Rust & WebAssembly
Experience building portable containers for EdgeML using Rust and WebAssembly, including development of Proc-Blocks, a Rust crate for cleaning and transforming data for CV, NLP, and audio tasks.
Data Science & Analytics
Proficiency in data science tools including Pandas, SQL, Spark, and MLOps practices. Experience with data-driven modeling, feature engineering, and life prediction models using cycle and EIS data.
Speech & Language Processing
Development of end-to-end speech translation models covering 8 different Indian languages, as well as NLP-based solutions for document classification and medical encoding.
Edge ML & IoT
Experience creating browser-based GUIs in React to build, test, deploy, and monitor ML pipelines on edge devices, significantly reducing deployment time from months to minutes.
Expertise in architecting and developing LLM-powered platforms leveraging language understanding, semantic retrieval, and fine-tuning techniques such as LoRA. Experience with GPT, Mixtral, Llama, Qwen3.5-VL, and RAG-based AI agents for real-world applications in healthcare and finance.
Machine Learning & Deep Learning
Strong background in machine learning and deep learning using TensorFlow, PyTorch, SciKit Learn, and Keras. Hands-on experience with computer vision, NLP, named entity recognition, embedding models, and real-time ML pipeline development.
MLOps & Cloud Infrastructure
Proficiency in building and managing MLOps pipelines using AWS, Kubeflow, MLflow, Docker, Terraform, and Jenkins for CI/CD. Experience automating model training, testing, deployment, and monitoring for scalable machine learning workflows.
3D Computer Vision & NeRF
Research and development of 3D computer vision models based on NeRF technology for 3D object representations, including Mesh UV unwrapping with SAM and 2D image segmentation mapped to 3D meshes.
Web & Backend Development
Solid skills in React, JavaScript, CSS, HTML, Python, Django, Flask, FastAPI, and REST APIs for building full-stack and backend applications integrated with ML models.
Rust & WebAssembly
Experience building portable containers for EdgeML using Rust and WebAssembly, including development of Proc-Blocks, a Rust crate for cleaning and transforming data for CV, NLP, and audio tasks.
Data Science & Analytics
Proficiency in data science tools including Pandas, SQL, Spark, and MLOps practices. Experience with data-driven modeling, feature engineering, and life prediction models using cycle and EIS data.
Speech & Language Processing
Development of end-to-end speech translation models covering 8 different Indian languages, as well as NLP-based solutions for document classification and medical encoding.
Edge ML & IoT
Experience creating browser-based GUIs in React to build, test, deploy, and monitor ML pipelines on edge devices, significantly reducing deployment time from months to minutes.
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishFluent
Project history
- Researched and developed 3D computer vision models based on NeRF technology to generate 3D object representations, optimizing neural rendering algorithms for computational efficiency and storage requirements
- Designed an algorithm to solve Mesh UV unwrapping challenges with the SAM by Meta AI, involved generating 2D image segmentation, mapping 2D segments to 3D meshes, contributing to advancements in 3D modeling and texturing
- Built comprehensive MLOps pipelines using AWS service and Terraform, with Jenkins for CI/CD, automating model training, testing, deployment, and monitoring for efficient machine learning workflows
- Orchestrated deployment of ML models into production using Docker containers and developed backend applications & APIs with Python web frameworks (FastAPI, Flask)
- Worked on creating portable containers for EdgeML, built on Rust & WebAssembly, which helped in closing a deal with first customer (Tractable.ai - a unicorn company)
- Built Proc-Blocks (a Rust crate), to clean & transform data for CV, NLP & Audio tasks
- Helped in creating a browser-based GUI in React to build, test, deploy & monitor ML pipeline on the edge devices, cutting down the deployment time from months to minutes
- Setup a data collector web app to store data to S3 bucket using FaaS for a