Headline

AI/ML Engineer | GenAI | LLMs | RAG | AI Agents | Python | NLP | FastAPI

About

AI Engineer at Bruker, building AI-powered solutions using Microsoft Copilot Studio, Power Automate, Python, and enterprise integrations to automate workflows and improve operational efficiency. My work involves turning business problems into practical AI and automation solutions. I have a Bachelor of Engineering in Computer Science (AI/ML) and hands-on experience across Machine Learning, Generative AI, LLMs, RAG, AI Agents, NLP, and intelligent automation. I enjoy building practical AI systems — from prototyping and integrating AI capabilities to connecting them with business applications and APIs. I’m currently looking to grow as an AI/ML Engineer by working on real-world AI products and scalable solutions, particularly in GenAI, LLM applications, automation, and machine learning.

Location

Greater Bengaluru Area

AI stack

github copilot

openai

ChatGPT

Microsoft Copilot

PydanticAI

Supabase

Work experience

AI Engineer at Bruker, Oct 2025 - Present · 1 yr 1 mo, Bengaluru, • Designed and built multiple AI agents using Microsoft Copilot Studio, with custom topics, different orchestration approaches and RAG capabilities to support diverse business use cases. • Developed an AI agent embedded within Salesforce, using Copilot Studio and Microsoft Graph API to retrieve Work Order details and initiate Teams collaboration directly from Salesforce. • Built an automated email intelligence workflow using Python, Power Automate and Dataverse, processing 50+ emails per day with ~95% classification accuracy. • Developed Python-based reporting and analytics solutions using Salesforce, Streamlit, Plotly and Power BI to automate business reporting and track key operational metrics.

Data Science & Analytics at Innovate Intern, Mar 2025 - Jun 2025 · 4 mos, Bengaluru, Karnataka, India, Developed a machine learning pipeline for detecting fake news using TF-IDF and Logistic Regression (achieved 98.7% accuracy). Performed data preprocessing, feature engineering, and built a Streamlit-based web app for real-time predictions with ELI5 explainability. Gained hands-on experience in Python, scikit-learn, Spark MLlib, and data visualization tools like Tableau.

Artificial Intelligence with ML at Solar Secure Solutions, Sep 2024 - Dec 2024 · 4 mos, Remote, Developed and trained machine learning models for AI-based solutions across various domains. Worked on data preprocessing, feature engineering, and model evaluation to enhance performance. Gained hands-on experience with Python, Scikit-learn, TensorFlow, and real-world datasets. Applied supervised learning, unsupervised learning, and deep learning techniques to solve business problems. Strengthened skills in model tuning, validation, and deployment strategies.

Machine Learning & Deep Learning Intern at Hackveda, May 2024 - Nov 2024 · 7 mos, Remote, Optimized machine learning models with Python and deep learning, enhancing accuracy through data preprocessing, feature engineering, and hyperparameter tuning, while collaborating on large datasets and providing insights to senior team members.

Internship at SS Technologies, Oct 2023 - Nov 2023 · 2 mos, Bengaluru, Karnataka, India, Explored IoT technologies with hands-on experience using various IoT devices, and completed a project leveraging these devices for data collection and analysis to drive practical applications and innovation.

Education

Bachelor of Engineering - BE, CSE ai/ml, AMC Engineering College - India

12th STD CBSE board, Narayana pu college