Headline

AI Engineer @Synopsys Inc | Forward Deployment |Agentic AI & Generative AI | Full Stack AI Engineering | Building Intelligent Automation Systems

About

Building at the intersection of Generative AI, Agentic AI, Automation & Software Engineering. I’m passionate about building intelligent systems that can understand context, reason over information, and take meaningful action — from GenAI-powered solutions and RAG-based architectures to autonomous agentic workflows. Currently exploring how we can move beyond AI that simply generates answers toward AI that can reason, collaborate, automate, and get things done. Always curious about emerging technologies, challenging problems, and the people building what’s next. If you’re exploring the world of AI too, let’s connect.

Location

Bengaluru

AI stack

anthropic apis

cursor

langchain

mcp

claudecode

Google ADK

Work experience

AI Automation & Productivity Engineer at Synopsys Inc, Feb 2026 - Present · 8 mos, Bengaluru, Driving GenAI and Agentic AI initiatives for enterprise automation, spanning document review, scheduling, and productivity workflows. Collaborating with globally distributed teams across 5 time zones and coordinating end-to-end delivery from business requirements and solution design to deployment and optimization. Building RAG, LLM-powered and agentic systems with a focus on automation, operational efficiency, reliability, and cost optimization.

AI/ML Intern (US) at NufinTech, Nov 2025 - Feb 2026 · 4 mos, New Jersey, United States, NufinTech was founded by Comodo Group backed by MAVeCap where I worked on AI and data science applications in the stock market trading domain, focusing on pattern mining, data-driven insights, and workflow automation. Built and analyzed models using Python and ML techniques to identify trading patterns and support decision-making. Collaborated with technical teams and communicated analytical findings clearly to non-technical stakeholders, ensuring alignment between market insights, automation outcomes, and business objectives.

Data Science & AI Intern at Apple Tree Infotech, Mar 2025 - Sep 2025 · 7 mos, Ghaziabad, Uttar Pradesh, India, For last 3 months: Specialized in delivering AI-first solutions with strong data science foundations for preprocessing, analytics, and insight generation. Key Project – AI-powered Predictive Maintenance System 1.Built and deployed deep learning models to detect anomalies and predict equipment failures before they occurred. 2.Analyzed high-frequency sensor & IoT data with advanced feature engineering and visualization. 3.Delivered ~25% improvement in equipment uptime and ~20% reduction in maintenance costs, directly boosting operational efficiency. 4.Showcased practical impact in manufacturing, aviation, and energy sectors, where predictive AI solutions are critical for minimizing downtime. For first 3 months: Applied machine learning and analytics to solve practical problems with large datasets. Built a key project for a client which involved building a Demand Forecasting System using time-series modeling and regression techniques. The system predicted product demand at scale, enabling smarter inventory management, supply chain optimization, and cost reduction—a solution widely adopted in retail, e-commerce, and manufacturing industries.

Education

Bachelor's degree, Computer Science & Engineering(Data Science), Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

Bachelor of Technology - BTech, CSE - Data Science, ABESIT

Public links

github: https://github.com/abhinav03bansal

linkedin.com: https://www.linkedin.com/in/abhinav03bansal