Headline

Machine Learning Engineer @ AiLusion | Building & Scaling Intelligent Systems across AI, ML, Data Science & Software | LLMs · RAG · Deep Learning · Predictive Modeling · Python · PyTorch · SQL

About

I'm a Machine Learning Engineer who builds AI that has to work outside the notebook. I build production AI systems: LLMs, RAG, agentic systems, and deep learning. I care as much about the engineering around a model as the model itself: clean code, scalable APIs, and dependable serving are what separate a demo from a product. That engineering mindset comes from a full-stack foundation. I build the backend services and applications that wrap a model (FastAPI, Java, REST APIs), not just the model. I'm actively researching how to get the most out of a model's architecture and the system that serves it. What I'm working toward is becoming an engineer who can own intelligent systems end to end, from data and models to the backend and applications that put them in people's hands. Tech stack: Python, PyTorch, TensorFlow, FastAPI, SQL, LLMs, RAG, deep learning, predictive modeling, Java, JavaScript, React.js, Next.js, REST APIs

Location

Greater Bengaluru Area

AI stack

claude code

github copilot

hugging face

langchain

langfuse

ollama

Work experience

Machine Learning Engineer at AiLusion, Jan 2025 - Present · 1 yr 9 mos, - Built production-grade generative pipelines for fashion automation using diffusion models (SDXL, Stable Diffusion 3, Flux-Dev), ControlNet, IP-Adapter, and Grounded-SAM to automate VTON, masking, and outfit draping workflows. - Fine-tuned models with LoRA, DreamBooth, and custom training setups to achieve higher identity preservation, fabric realism, and garment detail accuracy across diverse body poses and lighting conditions. - Led end-to-end ML ownership—from dataset creation and preprocessing to inference optimization and deployment—improving output quality, GPU efficiency, and model reliability across large-scale production workloads.

Machine Learning Intern at AiLusion, Sep 2024 - Dec 2024 · 4 mos, - Worked on fine-tuning AI-generated human-like models, improving realism, textures, and poses. - Helped integrate machine learning for automating background selection and product categorization. - Assisted in dataset curation, augmentation, and model performance evaluation.

Data Science Intern at HighRadius, Jul 2023 - Nov 2023 · 5 mos, On-site, ◻ Contributed to the Deduction Management System (DMS) Automation initiative, employing Python and Machine Learning to automate deduction processes for diverse clientele. ◻ Analyzed deduction causes and identified recurring patterns, enhancing operational efficiency. ◻ Played a key role in reducing deduction volumes, thereby contributing to improved company profitability and operational effectiveness.

Full-stack Developer Intern at HighRadius, May 2023 - Jun 2023 · 2 mos, Remote, I led the development of an AI-enabled finance B2B cloud application that effectively used machine learning for predictive analytics. The project entailed developing a Java servlet backend that talked with a React.js frontend to show data from SQL Workbench. Our solution included a predictive function that used AI to estimate future transactions, which improved enterprises' operational insights and decision-making skills.

Education

Bachelor of Technology - BTech, Computer Science, Kalinga Institute of Industrial Technology, Bhubaneswar

ISC, Science, Julien Day School - India