Sahaja Sandasani

About

Final-year B.Tech student specializing in Artificial Intelligence and Machine Learning with hands-on experience building AI-powered applications using Python, FastAPI, LangGraph, vector databases, and LLMs. Experienced in developing RAG systems, backend APIs, AI workflows, and intelligent automation.

Experience

• Software Engineer Intern
  SANSI RF and Communication Systems Pvt. Ltd.
  Mar 2026 – Jul 2026
• Backend Developer Intern
  Correct Steps Consultancy
  Jan 2025 – Sep 2025

Education

• Bachelor of Technology in Artificial Intelligence & Machine Learning (AIML)
  Woxsen University
  Artificial Intelligence & Machine Learning · 2023 – 2027
• Intermediate (MPC)
  SR Prime Junior College
  MPC · 2021 – 2023
• Secondary School Certificate (SSC)
  Tejaswi High School (State)
  2021

Skills

• SQL <3 months
• CSS <3 months
• FastAPI <3 months
• HTML <3 months
• Python <3 months
• Prompt Engineering <3 months
• JavaScript <3 months
• Django <3 months
• React <3 months
• API Integration Understanding <3 months
• RAG <3 months
• Vector Databases <3 months
• LLMs <3 months
• LangGraph <3 months
• Semantic Search <3 months

Tools / apps / platforms

• Claude <3 months
• Cursor <3 months
• Gemini <3 months
• Git <3 months
• GitHub <3 months
• GitHub Copilot <3 months
• Jupyter Notebook <3 months
• OpenAI ChatGPT <3 months
• VS Code <3 months

Projects

• RAG LangGraph System
  Python, LangChain, LangGraph, ChromaDB, FastAPI

  Built an end-to-end Retrieval-Augmented Generation (RAG) system using LangChain, LangGraph, and ChromaDB for semantic document retrieval. Implemented SentenceTransformer (all-MiniLM-L6-v2) embeddings for context-aware information retrieval and response generation. Designed modular AI workflows using LangGraph to improve scalability, maintainability, and response quality. Developed REST APIs using FastAPI for document querying and AI-powered response generation.

• Stress Speech Detection System
  Python, Machine Learning, MFCC, Random Forest

  Developed a speech-based stress detection model using MFCC feature extraction and Random Forest classification. Preprocessed speech recordings and extracted acoustic features for machine learning model training. Evaluated model performance using accuracy, precision, recall, and F1-score metrics. Applied audio analytics and machine learning techniques for intelligent stress detection.

• Indic Language Translation System
  Python, Transformers, NLP, Hugging Face

  Developed a transformer-based neural machine translation system for Indic language translation. Built preprocessing, tokenization, and normalization pipelines to improve translation quality. Fine-tuned transformer models using transfer learning techniques for multilingual text translation. Evaluated translation quality using BLEU score and NLP evaluation metrics.

🏆 Achievements & awards

• Government of India Design Patent: DIGITAL AI Stethoscope

  Co-inventor of Government of India Design Patent.

⚽ Extracurricular activities

• Technology Club at Woxsen University

  Contributing to technical events, workshops, hackathons, and collaborative learning initiatives.

• Hackathons and technical events

  Active participant in hackathons and technical events conducted at Woxsen University, focusing on problem-solving, data analytics, and emerging technologies.

• IIT Mumbai Hackathon and competitive coding events

  Participant in IIT Mumbai Hackathon and other competitive coding and innovation events.