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AI Engineer with less than a year in Machine Learning & Generative AI
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Machine Learning and Generative AI Engineer focused on designing intelligent systems that are scalable, secure, and production-ready. Experienced in building multi-agent AI workflows, retrieval-augmented generation (RAG) pipelines, and LLM guardrail architectures while leveraging strong foundations in data analysis, feature engineering, and predictive modeling. Skilled at bridging AI research concepts with real-world applications using Python, TensorFlow, LangChain, CrewAI, FAISS, and modern orchestration frameworks to create reliable, human-centered AI solutions.
Nutan College of Engineering & Research, Pune
B.Tech · Computer Science and Engineering (AI)
January 1, 2022 – January 1, 2026
Knowledge Networks
Program Admin and Operations Intern
February 1, 2026 – April 1, 2026
India
Tech Mahindra, Pune
International Project Intern
August 1, 2025 – December 1, 2025
Pune, Maharashtra, India
Bluestock Fintech, Pune
Software Development Engineer Intern
June 1, 2025 – July 1, 2025
Pune, Maharashtra, India
TradeGuide AI - Intelligent Trading Platform
June 1, 2026 – Present
Problem: Retail traders struggle to develop and execute profitable trading strategies due to lack of technical expertise. Solution: Built a multi-agent trading system using LangChain with specialized AI agents (Analyst, Risk Manager, Executor) Designed an AI-guided strategy developer translating user intent into custom entry/exit rules Integrated an automated backtesting engine to validate strategies across historical data
View ProjectAI-Powered Mathematics Learning Platform
June 1, 2026 – Present
Problem: Traditional RAG systems face critical challenges: hallucination, inability to self-improve, generic approaches, and context disconnect. Solution: Designed a guardrail-protected multi-agent orchestration system with a 70+ keyword LLM-based validation layer to control accuracy Built category-aware routing with intelligent agent orchestration for specialized solvers Leveraged DSPy with BootstrapFewShot to design a self-improving feedback loop from user ratings Integrated ChromaDB-backed hybrid RAG architecture with specialized solvers
View ProjectAI-Powered RAG Document Chatbot
June 1, 2026 – Present
Problem: Organizations struggle to efficiently extract specific information from large volumes of documents (PDFs, images, text files). Solution: Built an intelligent RAG chatbot integrating LangChain, FAISS, and LLMs for natural language querying Designed and deployed FAISS vector database pipelines for semantic search Integrated Tesseract OCR and web scraping into the document processing workflow • Built a citation system surfacing document ID, page, and paragraph references for explainability
View ProjectMulti-Layer Guardrail Content Moderation API
June 1, 2026 – Present
Problem: Single-model moderation systems struggle with prompt injection attacks and lack defense-in-depth security. Solution: • Architected a 7-stage Model Chain Prompting (MCP) pipeline to protect LLMs from hallucination and jailbreak attacks Designed a fail-closed, multi-layer threat detection system with code security scanning and independent verification Built and deployed a FastAPI REST service with Prometheus monitoring and structured logging
View ProjectDSA Visualizer - Interactive Learning Platform
June 1, 2026 – Present
Problem: Students struggle to understand complex data structures and algorithms through static diagrams. Solution: • Built an interactive web platform delivering real-time visualization of 15+ data structures and algorithms Designed step-by-step animation controls allowing users to pause, resume, and validate each operation Deployed a responsive, mobile-friendly UI with MDX-integrated documentation
View ProjectRed Hat AI Foundations Executive Certificate
Red Hat
June 1, 2026 – Present
AI White Belt
Tech Mahindra
June 1, 2026 – Present
NPTEL: Python for Data Science
Unknown
June 1, 2026 – Present
OCI Certified AI Associate
Oracle
June 1, 2026 – Present
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Article Published in College Newsletter
Unknown
January 1, 2026 – Present
Top 20 Winner VOIS Tech Innovation Marathon 2.0
VOIS Tech
January 1, 2026 – Present
Top 5 Finalist - IBM SkillsBuild Maharashtra Hackathon
IBM SkillsBuild
January 1, 2025 – Present
Winner - PICT Impetus International Project Competition
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an innovative AI engineering role, evidenced by a portfolio of diverse and complex AI projects. These projects tackle relevant industry problems (RAG limitations, content moderation, trading strategies) and showcase a proactive, solution-oriented mindset. Participation in hackathons and competitions further underscores a collaborative and competitive spirit. The candidate's education in Computer Science and Engineering (AI) aligns well with the target role.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Leadership, Teamwork, Collaboration, Presentation, and Public Speaking. Project descriptions indicate an ability to identify operational bottlenecks and implement workflow improvements, suggesting a good operational fit. The psychometric test score is below average, which might indicate areas for development in logical reasoning, stress handling, or team collaboration, but this needs further validation.