Available for work

Sachin Goyal.

Computer Engineering student

Computer Engineering student at TIET with proven experience in Generative Ai and Agentic Ai, demonstrated through a Google Capstone Project and participation in SIH 2025. Architected multi-agent systems, RAG-based platforms, and intelligent workflows that automate complex tasks and improve system efficiency. Committed to delivering cohesive, production-ready AI solutions for real-world engineering challenges.

Ludhiana, Punjab, India
sachingoyal9274@gmail.comLinkedInGitHub
+91 6280034162

Skills

PythonCC++SQLRMySQLFastAPIFlaskDockerLangChainCrewAIOperating SystemsObject-Oriented ProgrammingDatabase Management SystemsComputer NetworksData CleaningFeature EngineeringExploratory Data Analysis (EDA)Statistical AnalysisData VisualizationModel EvaluationNatural Language Processing (NLP)Generative AI (LLMs, RAG)Agentic AIPrompt EngineeringPredictive Modeling

Projects

Persona AI Studio

Architected a multi-agent AI system using Google Agent SDK (ADK) and Gemini 2.0 Flash, reducing response latency by 25% and achieving 99% persona alignment accuracy across diverse conversational scenarios.

Google Agent SDKGemini 2.0 FlashMulti-agent AI

My AI Mitra

Engineered 6+ Agentic AI tools using Generative AI, RAG, and LLM APIs (Gemini, Mistral, Grok), automating course roadmaps and content creation for 500+ topics.

Agentic AIGenerative AIRAGLLM APIs

Energy Consumption Forecasting

Developed an end-to-end time-series forecasting system for household electricity consumption, engineering 80+ temporal and statistical features to improve prediction stability and accuracy.

Time-series forecastingEnergy consumption

DSA Runway

Building an Agentic AI platform using Python, LangChain, and Nvidia NeMo Agent Toolkit to deliver personalized DSA learning paths based on individual student knowledge gaps.

Agentic AIPythonLangChainNvidia NeMo Agent Toolkit

Education

Bachelor of Engineering in Computer Engineering

Thapar Institute of Engineering and Technology

CGPA: 7.93/10.0

August 2023 – May 2027

Let's work together.

Open for new opportunities and high-impact collaborations.

Drop me an email