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Amanmeena0/README.md

Hey there πŸ‘‹ What's Up?

πŸ‘©β€πŸ’» About Me

Profile Illustration I'm AMAN MEENA from DELHI,INDIA.

  • πŸ”­ I'm currently working on FunRe, Safe-sphere, Edumantri and RevuMind..
  • πŸ“š I'm currently learning about AWS, CI/CD & Docker.
  • 🀝 I'm open to collaborating on AI & Backend Projects.
  • ⚑ In my free time I like to learn about Current Affairs & Read Self Help books (currently reading THE MOUNTAIN IS YOU BY BRENE BROWN).

πŸ’Ό Experience

🌐 Software Intern | Accenture

πŸ“… Dec 2025 - May 2026 πŸ“Gurugram, Haryana

  • Help in resolveing production support tickets in a large scale internation project while maintaining SLA compliance and improving issue resolution efficiency.
  • Completed intensive training across 15+ technologies including Agentic AI, RAG, LangChain, LangGraph, AWS, Azure, DevOps, and Machine Learning through hands-on practice.
  • Obtained a full-time offer after achieving P2+ proficiency in Accenture’s MyCompetency program.

🌐 AI Intern | Directorate General of Foreign Trade (DGFT)

πŸ“… June 2025 – July 2025 πŸ“ Delhi, India

  • Built a Retrieval-Augmented Generation (RAG) system using LangChain, ChromaDB, and Google for the Directorate General of Foreign Trade website to answer queries from exporters and importers.
  • Developed scalable ingestion and embedding pipelines to process and organize 50+ government documents into a structured vector database.
  • Implemented retrieval pipelines to extract precise and contextually relevant information, that significantly improves system accuracy and response quality.
  • Enhanced the conversational flow and answer accuracy through prompt engineering, semantic search, and context aware retrieval strategies

πŸ›°οΈ Research Intern | DIPR, DRDO

πŸ“… July 2024 – Aug 2024 πŸ“ Delhi, India

  • Developed a Multimodal lie detection system utilizing facial expression analysis and voice-based NLP techniques for behavioral assessment.
  • Processed and analyzed datasets containing 1,000+ samples, improving processing efficiency by 33% while achieving measurable model accuracy.
  • Extracted features from raw samples and built a robust data pipeline to analyze those features for answer generation.
  • Prepared and documented multiple technical research reports detailing methodologies, observations, and analytical findings.

🀝 Connect With Me

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  1. convincesence-update convincesence-update Public

    ConvinceSense is a real-time conversational engagement detection system that analyzes sales calls to output a convincingness score (1–5) based on acoustic features, speech recognition, and NLP sent…

    Python 4

  2. SafeSphere-client SafeSphere-client Public

    Safe Sphere is a project focused on enhancing personal and community safety by providing tools and resources that help individuals stay informed and connected in potentially unsafe situations.

    TypeScript 2

  3. MarketScout MarketScout Public

    AI-powered market analysis platform that provides in-depth insights acorss multiple business domains.

    Python 2 1

  4. Botanical_Merge Botanical_Merge Public

    Neural Style transfer application that applies artistic styles from reference images to content images using deep learning.

    TypeScript 2 1

  5. EduMantri-client EduMantri-client Public

    TypeScript 2 1

  6. Skky Skky Public

    Traveling planning applications that leverages Multi AI system.

    TypeScript 2