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AI Engineer with less than a year in NLP & RAG pipelines.
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Assessing your cultural and operational fit
AI/ML Engineer specializing in scalable machine learning systems and secure full-stack applications, with hands-on experience in LLM integration, RAG pipelines, and LangChain-based architectures. Strong expertise in NLP, computer vision, model optimization, and cloud deployment, building production-grade, data-driven AI systems.
Datta Meghe College of Engineering - Mumbai University
B.E · Artificial Intelligence & Data Science
N/A – June 30, 2026
New Horizon Public School Navi Mumbai
Class X (SSC) · CBSE
N/A – May 31, 2020
People's Education Society Thane
Class XII (HSC) · Science (PCM-CS)
N/A – May 31, 2022
Ross Warner HR Solutions
AI-ML Intern (On-Site)
December 1, 2025 – February 28, 2026
Mumbai, Maharashtra, India
CodeSprint Technologies
Python Developer Intern (Hybrid)
June 1, 2024 – August 31, 2024
Thane, Maharashtra, India
Plant LensAl - Plant Disease Detection
June 1, 2026 – Present
Built deep learning CNN model for plant disease classification. Developed interactive web interface for real-time prediction.
DDoS Attack Detection, Classification & Mitigation System
June 1, 2026 – Present
ML-based intrusion detection system for real-time traffic monitoring and multi-class attack classification. Implemented anomaly detection pipelines and automated mitigation workflows.
NexusRAG - Intelligence, RAG, Langchain + LLM Integration
June 1, 2026 – Present
NexusRAG is a full-stack multi-persona RAG platform using FastAPI and React, leveraging LangChain for dynamic PDF ingestion with HuggingFace embeddings and FAISS vector search, powered by Groq LPU inference running Llama-3 LLMs.
Cybersecurity
LinkedIn Learning
June 1, 2026 – Present
Stanford Machine Learning
Coursera
June 1, 2026 – Present
Accenture Data Analytics
Forage
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI applications, from plant disease detection to DDoS attack systems and RAG platforms, indicating a broad curiosity and adaptability. The 'AI Engineer' target role aligns well with their academic background in 'Artificial Intelligence & Data Science' and their internship experience. Participation in hackathons and leadership roles suggests a proactive, team-oriented, and competitive spirit, which generally contributes positively to cultural fit. The breadth of skills listed, including various languages, frameworks, AI concepts, databases, and deployment tools, shows a willingness to explore and master different technologies.
Soft Skills & Operational Fit
The candidate's project descriptions and internship roles suggest an ability to work in teams (e.g., 'collaborated on candidate data analysis', 'Team Lead' in hackathon) and a proactive approach to learning and development (multiple certifications). The academic nature of most projects and the intern experience level indicate a strong learning curve and potential for growth within an operational team. However, the lack of completed psychometric or English tests means there is insufficient data to fully assess logical reasoning, work attitude, stress handling, or team collaboration beyond what can be inferred from project descriptions.