Ananya Patel

About

Fourth-year B.Tech student in Artificial Intelligence and Machine Learning with hands-on experience building agentic AI systems, deep learning pipelines, and full-stack applications. Strong in LLM orchestration, multi-agent architectures, and production-grade ML solutions, with leadership experience in large-scale event teams.

Experience

• Cultural Secretary
  DJSCE Trinity
  2025 – Present
• Head of Department, Events
  DJSCE eXpress
  2024 – 2025

Education

• B.Tech in Artificial Intelligence and Machine Learning
  Dwarkadas J. Sanghvi College of Engineering
  Artificial Intelligence and Machine Learning · 2023 – 2027
• HSC
  Khar Education Society
  2023
• ICSE
  SVKM’s CNM School
  2021

Skills

• Algorithms
• C
• Computer Vision
• Data Structures
• Python
• Prompt Engineering
• Java
• Streamlit
• scikit-learn
• OpenCV
• PyTorch
• TensorFlow
• Next.js
• CNN (Convolutional Neural Network)
• LangChain
• API Integration Understanding
• Model Deployment
• Design Systems
• RAG
• Monitoring
• Transformers
• LangGraph
• PRISMA

Projects

• AyuGen – Agentic AI Platform for Precision Diagnostics
  LangChain, LangGraph, Transformer models, XAI, cloud-native architecture

  Built a multi-agent diagnostic system reducing genomic variant analysis from hours to seconds. Architected orchestrator, annotation, and synthesis agents, integrated explainable AI, and implemented human-in-the-loop escalation for high-stakes cases.

• OptiFusionNet – Low-Light Image Enhancement
  CNN, PSO, ACO

  Designed an encoder–decoder CNN with multi-scale fusion and residual denoising modules. Applied hybrid optimization to improve stability, PSNR/SSIM, and structural detail preservation in extreme low-light conditions.

• Harmony Hub – Full-Stack Platform
  Next.js 14, MongoDB, Prisma, NextAuth, OAuth, Vercel

  Built a role-based engagement platform with secure authentication and RESTful APIs. Deployed the production build on Vercel with optimized performance and dynamic routing.

• Financial Smart Assistant – Multi-Source RAG
  LangChain, ChromaDB, Streamlit, PDF, DOCX, PPTX, XLSX

  Built a financial RAG assistant that integrates uploaded documents, historical SBI knowledge, and conversational memory. Implemented multi-document retrieval, context merging, semantic embeddings, and persistent vector storage.