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Python Engineer with less than a year in Backend Development and AI/ML
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Highly skilled Python Engineer with expertise in backend development, AI/ML, and data processing. Proven ability to architect resilient data pipelines, solve complex technical challenges, and build intelligent systems. Recognized as a national finalist in the Adobe India Hackathon, demonstrating strong problem-solving and software engineering capabilities. Adept at leveraging modern technologies like FastAPI, LangChain, LLMs, and cloud services (AWS EC2) to deliver high-performance solutions.
Medi-Caps University, Indore
Bachelor of Technology · Information Technology
August 1, 2022 – June 30, 2026
AnythingAI Cyber Pvt.L
Backend Development
December 1, 2025 – May 1, 2026
India
Phone-Guide
June 24, 2026 – Present
Built an intelligent phone recommendation chatbot by scraping specifications from tech websites using BeautifulSoup, extracting structured data from 500+ device pages. Modeled and validated scraped data using Pydantic, ensuring 100% schema compliance before ingestion into MongoDB for persistent storage. Integrated LLaMA 2 for key-value pairing logic, enabling the bot to generate accurate device suggestions based on user intent.
View ProjectAI Document Analysis Tool
June 24, 2026 – Present
Collaborated in a team of 3 to become a national finalist from 262,159 teams, designing and building a fully offline document analysis tool using Python, Docker, and MiniLLMs. Developed a high-precision text extractor for complex PDFs, achieving high accuracy in identifying hierarchical document structures (titles, headings). Architected an end-to-end offline data pipeline, integrating the text extractor with a custom MiniLLM for advanced semantic chunking without external API reliance.
Chat-Bot
June 24, 2026 – Present
Engineered a RAG-based chatbot using LangChain, improving contextual accuracy of responses through document-aware retrieval. Implemented MiniLM embeddings with ChromaDB, achieving faster retrieval latency over a simple database search. Deployed LLAMA 2 with a FastAPI backend, enabling real-time answers for most queries.
View ProjectCultural Fit Analysis
The candidate's involvement in diverse projects (personal, academic, internship) and competitive programming highlights a proactive and continuous learning mindset. Their collaboration in a team for the AI Document Analysis Tool project indicates an ability to work effectively in a group setting. The breadth of technologies used across projects suggests adaptability and a willingness to explore new tools, which aligns well with dynamic team environments.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving capabilities, as evidenced by their competitive programming achievements and the successful resolution of IP-blocking issues during their internship. Their participation in a national hackathon also suggests good teamwork and project execution skills. The focus on building functional, real-world applications indicates a practical, results-oriented approach.