AI Research Engineer with less than a year in Generative AI, NLP, and Machine Learning.
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Highly motivated Computer Science Engineering student specializing in AI/ML, Generative AI, and Network Security. Developed production-style conversational AI systems using Retrieval-Augmented Generation (RAG) and implemented machine learning-based phishing website detection systems. Proficient in Python, C++, SQL, and various ML/DL frameworks, with a strong foundation in data science and prompt engineering.
Silicon University
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Dhanbad Public School
Secondary
N/A – May 31, 2020
DAV Public School
Senior Secondary
N/A – May 31, 2022
SmartSalonAI — GenAI & RAG Project
September 1, 2025 – June 1, 2026
Built a production-style conversational AI system using Retrieval-Augmented Generation (RAG) with FAISS vector search and Hugging Face embeddings for domain-specific question answering. Integrated a Groq-hosted Large Language Model (LLM) with fallback logic to ensure reliable responses when retrieved context is insufficient. Designed session-level conversational memory and a rule-based marketing agent for multi-turn personalization and intent-driven promotions. Developed an interactive Streamlit interface with clean modular architecture and production-grade logging.
View ProjectPhishGuard AI — Network Security
April 1, 2025 – June 1, 2026
Designed and deployed a machine learning-based phishing website detection system, achieving 95% classification accuracy on phishing vs. legitimate websites. Implemented advanced feature engineering and NLP-based URL/content analysis using Scikit-learn and XGBoost for robust threat detection. Built an end-to-end real-time detection pipeline with a Streamlit interface, backend integration with AWS Bedrock, and cloud deployment on AWS. Applied data preprocessing, model evaluation, and visualization techniques to improve model performance and interpretability.
Complete Data Science, Machine Learning, Deep Learning, NLP Bootcamp
Udemy
June 1, 2026 – Present
Python - NPTEL
NPTEL
June 1, 2026 – Present
Python - PCEP
Python Institute
June 1, 2026 – Present
Complete Generative AI Course with Hugging Face and LangChain
Udemy
June 1, 2026 – Present
Training in Data Science, Machine Learning and Deep Learning using Python
Syllogistek Systems Private Limited
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and practical application in AI/ML, aligning well with an 'AI Research Engineer' role. The diversity of projects (network security, conversational AI) shows a broad interest within the AI domain. The certifications further reinforce a proactive learning attitude. However, as an entry-level candidate with no professional experience, the breadth of real-world problem-solving and adaptability to diverse team cultures is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end systems, from design to deployment, suggesting good problem-solving and execution skills. The focus on 'production-style' systems and 'clean modular architecture' implies an understanding of software engineering best practices. However, without direct work experience or psychometric test results, it's difficult to assess collaboration, stress handling, or communication clarity in a team setting.