I'm Aashish
AI Engineer
I am an AI Engineer with expertise in Machine Learning, Generative AI, and AI Automation. I build intelligent AI applications, autonomous agents, RAG systems, and end-to-end automation workflows using modern AI frameworks to solve real-world business problems.

About Me
( 01 )
I am Aashish Kumar Saini, an AI Engineer with expertise in AI/ML, Generative AI, and AI Automation. I specialize in building intelligent applications, autonomous AI agents, and end-to-end automation workflows that solve real-world business problems using modern AI technologies.
I have hands-on experience developing end-to-end NLP and Generative AI systems, including RAG pipelines, semantic search, and personalized AI solutions using LangChain, LangGraph, vector databases, and large language models.
Currently pursuing my B.Tech in Computer Science and Engineering with a CGPA of 9.56, I actively work on real-world projects involving financial analytics, intelligent automation, and recommendation systems.
10+
AI Projects
20+
Technologies Used
9.56
CGPA
20+
AI Automations(Using n8n)
Language
English
Hindi
Experience
( 02 )
2026
Machine Learning Intern
On-Site
Designed and developed 20+ production-ready AI automation workflows using n8n, integrating Large Language Models (Gemini/OpenAI), REST APIs, Qdrant, Pinecone, Supabase, Cloudinary, Gmail, Google Sheets, and third-party services.
Built intelligent automation solutions for Vendor Discovery from Google My Business, Lead Generation, AI Blog & Website Content Automation, Social Media Content Creation & Publishing, Web Scraping, Image Validation, Customer Support Chatbots, Email Automation, Error Handling & Workflow Monitoring, and Internal Business Process Automation, significantly improving operational efficiency, reducing manual effort, and streamlining business workflows.
2025
AI Research Intern
Remote
Developed an end-to-end NLP-based Financial Advisory System that delivered personalized investment insights from real-time financial news. Built a complete AI pipeline integrating RSS News Scraping, Data Preprocessing, Named Entity Recognition (spaCy), FinBERT Sentiment Analysis, and Financial Entity Mapping.
Implemented Semantic Search using Sentence Transformers and ChromaDB, and applied Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs) to generate personalized financial recommendations based on user profiles.
2025
Data Analyst Intern
Remote
Analyzed real-world datasets to extract meaningful insights and support data-driven decision making. Built interactive dashboards, performed SQL analysis using MySQL, and transformed raw data into actionable business insights.
Processed and analyzed datasets using Python, Pandas, and NumPy, created visualizations with Matplotlib and Seaborn, and trained Machine Learning models to identify patterns and improve predictive performance.
Education & Skills
( 03 )
Latest Works
( 04 )
Contact Me
( 05 )