MCA @ RV College of Engineering · Building web applications, backend APIs, and vector search retrieval pipelines.
class HariCharan:
education = "MCA @ RV College of Engineering, Bangalore"
role = "Aspiring Software Development Engineer (SDE)"
languages = ["Python", "Java"]
web_backend = ["FastAPI", "Flask", "REST APIs", "JavaScript", "HTML", "CSS"]
ai_tools = ["LangChain", "FAISS", "Pinecone", "Hugging Face"]
databases = ["SQL", "MongoDB"]
cloud_and_tools = ["AWS", "Git", "GitHub Actions", "Linux", "CI/CD Pipelines", "VS Code"]
core_concepts = ["Data Structures", "Algorithms", "Object-Oriented Programming (OOP)", "DBMS"]|
Asynchronous backend handling research paper uploads, text extraction, and summarization. Implemented a RAG pipeline using FAISS vector index for passage retrieval, and engineered a hybrid summarization pipeline combining BERT and LLMs for structured summaries.
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Question-answering assistant in Python and Flask using LangChain to search clinical reference documents. Integrated Hugging Face embeddings with Pinecone vector database for similarity search, complete with a clean web interface displaying inline source citations.
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Mobile application built with Flutter and Dart that reads and categorizes bank transaction SMS notifications. Implemented regular expressions (Regex) to parse amounts, merchant names, and transaction dates across formats, storing records locally in SQLite for complete offline privacy.
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Real-time low-light object detection and tracking pipeline. Integrated automated image enhancement with YOLOv8 inference, ByteTrack multi-object tracking, and automated boundary-breach alerts for restricted zones.
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