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AI Engineer with less than a year in Generative AI, Python, and Full-Stack Development with 0.8 Year
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Assessing your cultural and operational fit
University Gold Medalist (Rank 2) and final-year B.Tech CSE student with three professional engineering internships spanning enterprise software and applied AI. Builds production-ready Generative AI systems-multi-agent orchestration (CrewAI), Agentic RAG pipelines, and LLM-powered automation-backed by strong full-stack fundamentals in Python, .NET, React, and SQL. Seeking AI/ML and GenAI Engineering internship opportunities.
Guru Gobind Singh Indraprastha University (IPU)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
DAV Public School, Sreshtha Vihar
Class XII
June 1, 2020 – May 31, 2022
DAV Public School, Sreshtha Vihar
Class X
June 1, 2018 – May 31, 2020
Havells India Ltd (MNC)
.NET Developer Intern
November 1, 2025 – March 1, 2026
Delhi, Delhi, India
Kulsys Technologies
Data Analyst Intern
July 1, 2025 – September 1, 2025
Noida, Uttar Pradesh, India
Internselite
Python Developer Intern
June 1, 2024 – December 1, 2024
Gurgaon, Haryana, India
Hybrid-Vision Multi-Modal AI for Industry 4.0
January 1, 2025 – Present
Built a hybrid predictive-maintenance pipeline: a Random Forest Regressor trained on NASA C-MAPSS sensor telemetry forecasts Remaining Useful Life, paired with a fine-tuned MobileNetV2 transfer-learning model classifying steel surface defects from the NEU Surface Defect Database. Implemented an automated trigger that launches visual defect scans only when predicted RUL drops below a set threshold, reducing unnecessary inspection overhead; deployed via Gradio on Hugging Face Spaces.
Multiple Disease Predictor
January 1, 2025 – Present
Built a Streamlit-based ML system predicting Heart Disease, Diabetes, and Breast Cancer risk from clinical parameters using trained classification models, achieving 86% accuracy on held-out test data.
Career Architect Pro
January 1, 2025 – Present
Built a career-strategist application that parses multi-page PDF resumes via PyMuPDF, runs skills-gap analysis with Gemini 2.5 Flash, and surfaces live job matches through the Adzuna API.
ForgeAI Matrix Studio
January 1, 2025 – Present
Architected a multi-agent Generative AI platform using CrewAI to orchestrate three autonomous agents (Systems Architect, Core Engineer, QA Auditor) that translate requirement logic into source code with minimal drift. Integrated Agentic RAG workflows backed by ChromaDB vector storage for persistent agent memory; built a custom glassmorphic Streamlit console for live, interactive code-refactoring feedback.
Metro Crowd Prediction System
January 1, 2024 – December 31, 2024
Built a multi-zone ML occupancy-forecasting app predicting crowd levels at metro ticket counters, security, platforms, and coaches to enable proactive staff deployment and crowd management.
Gold Medalist
Guru Gobind Singh Indraprastha University (IPU)
January 1, 2024 – Present
When Fatigue Meets the Wheel: A Comprehensive Review of Drowsiness Detection Technologies
AICTE National Conference on IT for Sustainability
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background and project portfolio show a strong alignment with an AI Engineer role, particularly in Generative AI and Machine Learning. The diversity of academic projects, from multi-agent systems to multi-modal AI and predictive analytics, indicates a broad interest and capability in various AI applications. The internships, while not all directly AI-focused, demonstrate versatility and a willingness to engage in different technical domains, which can be a positive for cultural fit in dynamic environments. However, the lack of professional AI/ML experience beyond academic projects and internships might require a team that can provide mentorship and structured growth.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude, evidenced by early promotion in an internship and consistent project development alongside academic pursuits. The ability to work on diverse projects (Generative AI, predictive maintenance, disease prediction) suggests adaptability and problem-solving skills. The publication and gold medalist status indicate a strong drive for excellence and academic rigor. While project descriptions are clear, direct evidence of teamwork or communication in a professional setting is limited to project descriptions, which are individual contributions.