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Generative AI Engineer with less than a year in Machine Learning and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science undergraduate specializing in Generative AI, Machine Learning and Deep Learning. Proficient in Python, C++, SQL with hands-on experience in LangChain, Hugging Face, TensorFlow, PyTorch, OpenCV. Strong foundation in Data Structures, Algorithms, DBMS, and OOP. Experienced in building end-to-end AI systems and real-time applications.
Indian Institute of Information Technology, Bhagalpur
B.Tech · Computer Science and Engineering
August 1, 2023 – Present
RAG-Based Document Query Assistant
January 1, 2023 – Present
Built a Retrieval-Augmented Generation (RAG) system using LangChain, Hugging Face, and ChromaDB for context-aware question answering over PDF documents. Designed an end-to-end pipeline including document ingestion, chunking, embedding generation, semantic retrieval, and conversational response generation. Implemented custom prompt engineering and chat history to improve multi-turn conversational accuracy. Developed an interactive Streamlit-based chatbot interface for real-time document query resolution.
Document Forgery Detection
January 1, 2023 – Present
Implemented pixel-level forgery detection using SegFormer and CNN-based segmentation. Trained models on CASIA and SIDTD datasets. Reduced false positives by 20%. Generated explainable outputs using heatmaps and mask overlays.
Driver Fatigue Monitoring System
January 1, 2023 – Present
Built real-time monitoring system using OpenCV, MediaPipe, EAR, and head pose estimation. Processed live video streams with low latency. Designed alert system for safety monitoring.
GenAI Powered Data Analytics Job Simulation
Forage (Tata Group)
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified Data Science Professional
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in Generative AI, Machine Learning, and Deep Learning, which aligns well with a Generative AI Engineer role. The diversity of projects (RAG system, forgery detection, fatigue monitoring) shows a breadth of application areas within AI. However, all projects are academic, and there is no professional experience, which might indicate a need for mentorship in a corporate environment. The certifications further reinforce a commitment to the field. The candidate's profile suggests a fit for an innovative, technically driven culture, but might require support in transitioning from academic to industry practices.
Soft Skills & Operational Fit
The candidate's resume highlights academic projects that involve problem-solving and system building, suggesting an ability to work on complex technical challenges. The description of project work implies a structured approach to development, from design to implementation. However, without specific behavioral or teamwork-related data, it is difficult to assess soft skills like collaboration, communication in a team setting, or adaptability. The focus on academic projects indicates a strong learning aptitude and a drive to apply theoretical knowledge.