AI Engineer with less than a year in Data Analysis & Generative AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated student from IIT Roorkee with 7 months of internship experience as an AI/ML Engineer and Data Analyst. Possessing strong skills in Python, SQL, Machine Learning, Deep Learning, NLP, and Generative AI frameworks. Proven ability to design and implement end-to-end AI/ML workflows, build robust data pipelines, and develop innovative solutions for real-world problems, including RAG systems, chatbots, and data analysis models.
Indian Institute of Technology, Roorkee
Bachelor of Technology
August 1, 2021 – June 30, 2025
AI health highway
AI/ML intern
February 1, 2026 – April 1, 2026
India
Physics Wallah
Data Analyst Intern
April 1, 2024 – July 1, 2024
India
Multi-Format Document RAG with Hybrid Retrieval & Memory
December 1, 2025 – January 1, 2026
Parsed Google Drive files (PDF, Word, CSV, Excel) using LlamaParse and stored text + metadata in SQLite. Chunked text using Recursive Character Splitter, generated embeddings, and indexed data in Pinecone. Built hybrid retrieval combining vector search and keyword filtering to return relevant results with source citations. Designed LangGraph workflow for query routing, conversation memory, and user-specific document retrieval.
E commerce chatbot
October 1, 2025 – December 1, 2025
Built an e-commerce chatbot using LangGraph and MCP to answer product queries, order status, and returns. Developed backend API's using FastAPI, integrated with SQLite for product, order, and customer data. Classified user queries and routed them to MCP tools while storing conversation history for multi-turn interactions. Developed Streamlit-based chat interface for user interaction and seamless backend integration with APIs.
Training Data Bot
June 1, 2025 – August 1, 2025
Engineered a Python pipeline transforming documents and web content into high-quality fine-tuning datasets. Automated chunking and LLM-driven generation for QA, classification, and summarization workflows at scale. Designed quality scoring, filtering mechanism, and JSONL export for reliable downstream model training pipeline.
Machine Learning Specialization
Coursera
June 1, 2026 – Present
IBM Data Analyst
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects (e-commerce chatbot, multi-format RAG, training data bot) and internship experiences (AI/ML intern, Data Analyst intern) demonstrate a broad interest in AI/ML applications and a willingness to explore different problem domains. The leadership roles in academic and technical councils suggest an ability to contribute to a collaborative environment and take initiative. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical skills and project focus on building AI systems.
Soft Skills & Operational Fit
The candidate's project descriptions and leadership roles suggest good problem-solving skills, an ability to work in teams (e.g., crowdsourcing system design), and a proactive approach to learning and development. The academic council role indicates an ability to drive initiatives and use data for decision-making. However, without direct interview data, assessing communication clarity in a live setting, stress handling, and specific team collaboration styles is difficult.