I'm Harshita, a front-end web-developer skilled in ReactJS, Redux, JavaScript, and TypeScript and have keen interest in machine learning and data science.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic_RAG_Application
February 24, 2026 – Present
Agentic_RAG_Application — GitHub repository
View Projectlanggraph-rag-service
September 23, 2025 – September 23, 2025
LangGraph RAG Service – A production-ready Retrieval Augmented Generation (RAG) system built with LangGraph, FastAPI, and Qdrant. It ingests documents (PDFs, URLs, GitHub repos), retrieves relevant context using hybrid search + reranking, and orchestrates query flows with LangGraph agents (preprocessor → retriever → answerer → critic).
View ProjectConductor_LLM_Platform
August 13, 2025 – September 2, 2025
Enterprise LLM Orchestration Platform - Intelligently route requests across multiple AI providers with cost optimisation and real-time monitoring
View ProjectWeb_App_React_Django
October 21, 2024 – March 13, 2025
I built a Recipe Management System using Django REST Framework with user authentication, recipe CRUD operations, and filtering by tags and ingredients. The project included token-based authentication, OpenAPI documentation, and image uploads using Pillow. I deployed the Dockerized app on AWS EC2 with efficient media and static file handling.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Python/Django backend and AI/ML applications, with frontend technologies (JavaScript, React, HTML, CSS) appearing in a supporting role for full-stack projects. While there are frontend skills, the depth and focus on pure frontend challenges are not clearly demonstrated. This might indicate a potential misalignment with a dedicated 'Frontend Developer' target role, suggesting a stronger fit for a full-stack or backend role with frontend exposure. The diversity of projects is good, but the thematic focus is narrow.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive approach to learning and building, but no direct evidence of collaboration, problem-solving under pressure, or communication style is available.