Open to opportunities

Priyanka M

@priyankam1

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AI/ML software developer building LLM-driven products, pipelines, and systems that ship.

India

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What I'm looking for

I’m looking for a team where I can build and deploy real-world AI systems—LLM-driven tools, robust ML pipelines, and explainable multi-agent solutions—while owning design, testing, and continuous improvement in an engineering-first culture.

I’m an AI/ML-focused Software Developer building production-ready systems that turn minimal inputs into working software features. At Octave (formerly Hexagon R&D India), I led design and code reviews for an AI Copilot prompt-engineering system that generates complete software features from natural language, and I’ve taken on end-to-end ownership for deployment and quality.

I architected and deployed an LLM-driven MCP Server for automated unit test generation and command creation, reducing manual developer effort by 70% across the engineering org. I also designed end-to-end ML pipelines for equipment recognition and quality prediction—covering data processing, model training, optimization, and validation—to improve product quality at scale.

Before that, I worked as an R&D Intern at Hexagon R&D India, where I developed YOLO, CNN, and LSTM models using PyTorch, TensorFlow, and Keras, then shipped a production web app (React + Flask on Azure/Docker) with documented APIs for real-time model interaction. I’m currently pursuing an M.Sc. in Machine Learning and Artificial Intelligence (IIIT-B & LJMU), and my thesis focuses on an explainable, knowledge-driven multi-agent traffic optimization framework using RAG-style reasoning and persistent operational memory.

Experience

Work history, roles, and key accomplishments

Current

Software Developer — AI/ML

Current

Octave

Jul 2024 - Present (2 years)

Led development of an AI Copilot prompt-engineering system and designed an MCP server for LLM-driven automated unit test generation and command creation. Built production ML pipelines for equipment recognition and quality prediction and developed a reinforcement learning system for constraint-based adaptive label positioning.

Prompt Engineering AI Copilots MCP Servers LLM Python SQL C++C#Machine Learning Pipelines Quality Prediction Reinforcement Learning Adaptive Label Positioning Data Processing Model Training Optimization Validation Debugging

R&D Intern

Hexagon R&D India

Oct 2023 - Apr 2024 (6 months)

Developed and validated YOLO, CNN, and LSTM models for domain-specific data and shipped a production web application enabling real-time interaction with the model.

Python Deep Learning Computer Vision YOLO CNN PyTorch TensorFlow Keras React Flask Docker Azure web app development API Development

Education

Degrees, certifications, and relevant coursework

International Institute of Information Technology Bangalore (IIIT-B)

Master of Science (M.Sc.), Machine Learning and Artificial Intelligence

2024 -

Activities and societies: Coursework: Machine Learning, Deep Learning, NLP, Computer Vision, Statistics, MLOps, GenAI, LLMs, Agentic AI.

Pursuing an M.Sc. in Machine Learning and Artificial Intelligence from Dec 2024 to present, with coursework across ML, deep learning, NLP, computer vision, and LLM/agentic AI topics.