AI Engineer with 2+ years in Python, RAG, and NLP.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science (AI & ML) graduate with strong Python programming, problem-solving, and analytical skills. Experienced in developing AI-powered applications, automation workflows, and backend systems using Python and SQL. Passionate about HyperAutomation, Agentic AI, and building intelligent solutions that improve business processes and operational efficiency.
Lokmanya Tilak College of Engineering
B.E. · Computer Science (AI & ML)
November 1, 2022 – May 1, 2026
Shree Halari Visa Oswal Jr. College
HSC · Science Stream
July 1, 2019 – May 1, 2021
Saraswati English Medium School
SSC
January 1, 2018 – January 1, 2019
RAG Learning Journey
May 1, 2026 – Present
Building Retrieval-Augmented Generation (RAG) systems from scratch, progressing from text-document retrieval to single-PDF question answering using embeddings, vector databases, and semantic search. Currently extending the system to support multi-PDF retrieval and experimenting with chunking strategies, embedding models, and retrieval techniques to understand production-ready RAG architectures.
IntelliVision Forensics
July 1, 2025 – April 1, 2026
Developed an AI-based image forensics backend system to detect manipulation, steganography, and metadata anomalies using error-level analysis and LSB-based steganography detection. Built and integrated RESTful API services with FastAPI, connecting analysis modules to a frontend interface; optimized the processing pipeline to achieve 2-4 second per-image analysis time. Collaborated in a cross-functional team, owning backend modules, writing technical documentation, and iterating based on test results and performance metrics.
Movie Recommender System
June 1, 2025 – Present
Developed a content-based recommendation engine using cosine similarity on a 5000-movie TMDB dataset, integrated TMDB API for real-time poster fetching.
Zenith - Desktop AI Assistant
January 1, 2025 – May 1, 2025
Built a voice-controlled intelligent assistant with real-time speech-to-text processing (SpeechRecognition, PyAudio), NLP-based intent detection, and Transformer-based response generation. Designed and implemented automation workflows for system operations, application control, and task execution using Python, improving usability through voice-driven interactions and optimized execution pipelines. Led the team to 1st Place in an intra-college project competition; coordinated task delegation, testing, and final presentation.
Blueprint Scripting with Unreal Engine
Epic Games (Coursera)
June 1, 2025 – Present
Python 101 for Data Science
IBM
March 1, 2025 – Present
Problem Solving (Intermediate)
HackerRank
January 1, 2025 – Present
Python for Machine Learning
IBM
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from personal learning journeys (RAG Learning Journey) to academic competitions (Zenith, IntelliVision Forensics), shows initiative and a broad interest in AI applications. Their involvement in competitive programming (CodeClash, LeetCode, HackerRank) suggests a drive for continuous learning and problem-solving, which is a positive cultural indicator. The target role of AI Engineer aligns well with their project experience in RAG, NLP, and AI-powered backend systems.
Soft Skills & Operational Fit
The candidate demonstrates strong team collaboration and leadership skills through the Zenith project, where they led the team to first place and coordinated task delegation. Their experience in writing technical documentation and iterating based on feedback indicates good operational fit and communication within a team setting. The focus on building intelligent solutions to improve business processes aligns well with practical application of AI.