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Sr. Software Engineer (7+ YOE) specializing in Agentic AI, LLM Orchestration, and Distributed Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mandi-mithra-ai
January 26, 2026 – Present
🌾 Multilingual Mandi (मंडी मित्र) - AI-powered platform for Indian agricultural markets. Real-time translation between 9 Indian languages, mandi price discovery & negotiation assistant using Amazon Bedrock. Built for AI for Bharat Hackathon #AIforBharat
View Projectagentic-data-scrapper
January 16, 2026 – Present
An autonomous, layout-agnostic web scraper powered by LLMs. Extract structured data from any website without brittle selectors.
View Projectllm-cogs-optmizer
January 16, 2026 – Present
Intelligent middleware that reduces LLM COGS by routing queries between local models (Ollama) and cloud APIs based on complexity. Simple, lightweight, and extensible.
View Projectrag-news-summarizer
January 6, 2026 – Present
A local-first RAG pipeline that fetches news from RSS feeds, indexes them in ChromaDB, and generates AI-powered summaries using Ollama. Built with LangChain and Streamlit for learning and experimentation.
View Projectuser_identification_based_on_keystrokes
May 15, 2022 – Present
A modern ML-powered biometric authentication system that identifies users based on their unique typing patterns. Built with Streamlit, scikit-learn, and Material Design 3.
View Projectimage-patch-mapping
April 21, 2022 – Present
A Python toolkit for image processing — edge detection, template matching, and patch detection using OpenCV
View Projectsudoku-solver
April 21, 2022 – Present
A Python Sudoku solver using human-like strategies: naked pairs, hidden singles, and constraint propagation
View ProjectCultural Fit Analysis
The candidate exhibits a strong inclination towards personal development and experimentation, as evidenced by a wide array of personal projects. The projects span various domains, from AI/ML to web development, suggesting adaptability and a broad interest in technology. This aligns well with a culture that values innovation, continuous learning, and proactive problem-solving. The 'AI for Bharat Hackathon' participation also indicates a collaborative spirit and engagement with community initiatives. However, the lack of formal team experience makes it challenging to fully assess cultural fit in a professional team setting.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation, curiosity, and a drive for continuous learning. The diversity of projects, particularly those involving AI/ML, indicates an ability to explore and adapt to new technologies. However, without formal work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or direct operational fit in a team environment.