βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Hi, I'm Akanksha, a Computer Science Engineering student passionate about Artificial Intelligence, Machine Learning, and Generative AI.
πΉ Currently learning Python, Data Structures & Algorithms, and AI/ML
πΉ Exploring LLMs, RAG systems, NLP, and AI-powered applications
πΉ Building projects that combine software development with real-world AI solutions
πΉ Interested in creating scalable, production-ready AI products
πΉ Open to collaborations, internships, and innovative tech projects
I enjoy turning ideas into practical solutions and continuously improving my problem-solving and development skills.
Python Β· LLMs Β· Vector DB Β· NLP Β· Embeddings
- π Built a Retrieval-Augmented Generation chatbot grounded in a curated knowledge base β 90%+ context-accurate responses
- π― Engineered semantic retrieval with vector embeddings + cosine similarity, cutting irrelevant replies by ~40%
- β‘ Optimised inference pipeline to achieve sub-2-second response latency on 500+ document corpora
- Stack:
PythonFAISS/ChromaLLMsEmbeddingsNLP
Python Β· Gemini API Β· Telegram Bot API Β· Automation
- π Built an AI-powered broadcast platform integrating Gemini API with Telegram β dynamic content to multiple channels simultaneously
- π€ Eliminated ~80% manual content-creation effort via automated AI-driven pipelines
- ποΈ Designed scalable API-based workflow architecture reducing delivery inconsistencies
- Stack:
PythonGemini APITelegram Bot APIAutomation Pipelines
Python Β· Cybersecurity Β· NLP Β· Web Scraping
- π Automated dark web monitoring system β scans & classifies suspicious content (fraud, leaks, illegal listings)
- π‘οΈ Keyword-based NLP pattern matching for targeted threat identification, dramatically reducing manual analyst time
- π Processed unstructured text at scale; lays groundwork for ML-based anomaly detection
- Stack:
PythonNLPWeb ScrapingCybersecurity
π· Image Processing Intern | Sarala Birla University | MayβJul 2025
β 10+ image processing algorithms in MATLAB (enhancement, filtering, edge detection)
β Real-world CV techniques applied to sample datasets
πΈ Contributor & Ambassador | GirlScript Summer of Code | Apr 2026βPresent
π£ Campus Ambassador | Aptisure Learning | MarβApr 2026
