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AI Engineer with less than a year in Python Backend & GenAI
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Recent B.Tech CSE graduate specializing in Python backend and GenAI engineering. Built and deployed FinSight - a production-grade multi-agent financial intelligence platform (LangGraph, FAISS RAG, Groq LLM) achieving RAGAS scores of 0.8+. Hands-on across the full stack: agentic pipelines, vector databases, REST API design, and Django-based web systems. Strong DSA fundamentals (150+ LeetCode) with system design exposure and internship experience in scalable data architecture. Immediately available for SDE / AI-ML engineering roles.
Shri Vaishnav Vidyapeeth Vishwavidyalaya
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Nehru Montessori School
CBSE · Class XII
N/A – Present
Nehru Montessori School
CBSE · Class X
N/A – Present
Infosys Springboard
AI/ML Engineering Intern
October 1, 2025 – December 1, 2025
India
FinSight - Multi-Agent Financial Intelligence Platform
June 23, 2026 – Present
Architected a 5-agent LangGraph pipeline (retrieval, analysis, summarization, Q&A, evaluation) processing ~1,700 pages of annual reports via FAISS vector search and HuggingFace embeddings. Built RAG-based document intelligence for natural language querying over dense financial filings; achieved RAGAS scores of 0.8+ across faithfulness, answer relevancy, and context precision. Integrated real-time stock data (yfinance) with Groq LLM inference, combining structured and unstructured financial sources in a single production-deployed Streamlit application.
Janmat – Public Grievance Redressal Platform
June 23, 2026 – Present
Architected full-stack civic platform with JWT authentication, REST APIs, and RBAC applying OOP design principles across a multi-tier system. Integrated Leaflet.js for geo-tagged complaint mapping; managed complete grievance lifecycle from submission to resolution, reducing manual reporting dependency.
Programming in Java, DSA, DBMS, Soft Skills
NPTEL
June 1, 2026 – Present
Python, Machine Learning, SQL
Kaggle
June 1, 2026 – Present
Virtual Internship – Artificial Intelligence
IBM
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio, including a public grievance redressal platform and a financial intelligence platform, demonstrates a diverse interest in applying AI/ML and software engineering to real-world problems. The internship experience and certifications further broaden their skill set, indicating a proactive learning attitude. The combination of backend development, GenAI, and data engineering skills aligns well with the demands of an AI Engineer role, suggesting a good cultural fit for a technically challenging and innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to architect complex systems, integrate various technologies, and deliver production-grade applications. This suggests strong problem-solving, analytical, and execution skills. The focus on reducing manual dependencies and improving efficiency in projects indicates a results-oriented approach. The detailed descriptions of project architectures and outcomes demonstrate good technical communication.