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AI Engineer with less than a year in Artificial Intelligence & Machine Learning
Final-year B.Tech Computer Science (AI) student primarily working with Python, with a strong understanding of Data Structures & Algorithms, Operating Systems, DBMS, and core Software Engineering concepts through real-world exposure. Experienced in building scalable backend and web applications using Python, Flask, React, SQL, and distributed-style data processing workflows. Possesses hands-on exposure to AI-powered application development, including machine learning systems, Generative AI tools, prompt engineering, and AI-assisted coding for automation, debugging, and documentation. Demonstrates strong problem-solving, communication, and code-review skills.
Nutan College of Engineering and Research, Pune
B.Tech · Computer Science and Engineering (Artificial Intelligence)
August 1, 2022 – June 30, 2026
Modern College of Arts, Science and Commerce Shivajinagar, Pune
HSC · Science and Commerce
N/A – Present
Bluestock Fintech
SDE Intern
February 1, 2026 – March 1, 2026
India
Thynk Tech India
SDE Intern
November 1, 2025 – March 1, 2026
India
CodeGuardian – Multi-Agent Secure Code Intelligence Platform
June 1, 2026 – June 1, 2026
Developed a multi-agent AI system using LLMs, RAG, and vector search for intelligent code analysis and contextual recommendations. Designed specialized agents for code review, vulnerability detection, compliance validation, and automated decision support. Built LangChain-based evaluation pipelines with embeddings and semantic retrieval to improve agent reliability and explainability.
Employee Performance Classification System
June 1, 2026 – June 1, 2026
Developed a multi-agent HR assistant capable of reasoning over employee records, policy documents, and performance data using Retrieval-Augmented Generation (RAG) and LLM-based workflows. Designed semantic search and evaluation pipelines using LangChain, Llama Index, embeddings, and vector databases to generate contextual recommendations and support human-in-the-loop decision making. Built scalable backend services with Fast API, PostgreSQL, Docker, and observability mechanisms for conversational analytics, enterprise knowledge retrieval, and agent performance monitoring.
The Corporate Blog — SEO-Optimized CMS Platform
June 1, 2026 – June 1, 2026
Designed a full-stack blogging platform using Next.js, React, TypeScript, Node.js, Express, PostgreSQL, and Prisma, using low-code tools to accelerate implementation. Implemented JWT authentication, role-based access control, and a structured content editor. Built PostgreSQL full-text search, category filters, and newsletter subscription features. Integrated SEO metadata automation, Cloudinary media optimization, and deployed using Vercel and Neon.
EnergiSense – Smart Energy Optimization System (Hackathon Finalist)
June 1, 2026 – June 1, 2026
Developed a multi-agent AI system combining forecasting models, Retrieval-Augmented Generation (RAG), and LLM-based reasoning to analyze enterprise energy consumption and support intelligent decision-making. Built agent workflows for prediction, recommendation, and analytics using Lang Chain, vector embeddings, and semantic retrieval over historical energy data. Implemented scalable Fast API services with PostgreSQL, Pinecone/Chroma DB, and Docker to enable explainable insights, tool-assisted reasoning, and enterprise-grade AI workflows.
Machine Learning
Unknown
June 1, 2026 – Present
Data science and AWS certification
Unknown
June 1, 2026 – Present
Introduction to C++
Coding Ninjas
June 1, 2026 – Present
Advance python
Ai Adventures
June 1, 2026 – Present
MERN full stack web development
Geeks for Geeks
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in cutting-edge AI technologies, particularly multi-agent systems and RAG, which aligns well with an innovative and research-oriented culture. The diversity of projects (energy optimization, secure code intelligence, HR assistant, CMS) indicates adaptability and a broad problem-solving mindset. The listed certifications and academic background in AI further support a strong cultural fit for an AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication, analytical thinking, problem-solving, and team collaboration skills. The 'Training & Placement Volunteer' role suggests experience in coordination and interaction, which are valuable for operational fit. However, without specific assessment data for these soft skills, the depth of these abilities cannot be fully validated.