AI Engineer with less than a year in Deep Learning & Computer Vision.
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Specializing in Deep Learning and Computer Vision, with a proven track record of designing end-to-end machine learning pipelines. Expert in developing RAG-based systems, medical imaging models, and real-time intelligent infrastructure. Proficient in Python, TensorFlow, and Keras, with a focus on deploying scalable, high-performance models that solve complex technical challenges.
Graphic Era Deemed to be University
B.Tech · CS (Specialization in AI & Data Science)
September 1, 2022 – June 1, 2026
LENEK TECHNOLOGIES
AI Intern
June 1, 2025 – November 1, 2025
Kanpur, Uttar Pradesh, India
Finance AI Chatbot
September 1, 2022 – Present
• Architected an AI-driven financial assistant utilizing LangChain and LLMs to provide real-time investment insights and automated budget analysis. • Implemented persistent conversation memory to analyze user spending patterns and deliver personalized financial saving recommendations. • Developed a secure Flask-based backend to manage asynchronous user queries, maintaining high availability and low response latency.
View ProjectGreen Corridor System
September 1, 2022 – Present
• Engineered an intelligent traffic management system to prioritize emergency vehicles using Python and real-time traffic data. • Optimized Estimated Time of Arrival (ETA) by implementing dynamic signal preemption, reducing emergency response times by an estimated 25%. • Integrated Google Maps API to fetch live traffic density and calculate the fastest routes through high-congestion urban zones. • Developed a centralized dashboard to monitor vehicle progress and automate signal switching via RESTful APIs.
View ProjectGraduate Aptitude Test in Engineering (GATE) 2026 – Secured All India Rank (AIR 3249) in Data Science & Artificial Intelligence (DA)
Unknown
June 1, 2026 – Present
Convolutional Neural Networks in TensorFlow
Coursera / DeepLearning.AI
January 1, 2024 – Present
Deep Learning Specialization
Coursera / DeepLearning.AI
January 1, 2024 – Present
Neural Networks and Deep Learning
Coursera / DeepLearning.AI
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity (traffic management, finance, medical imaging) and academic specialization in AI & Data Science indicate a strong interest and alignment with an AI-focused role. The internship experience at LENEK TECHNOLOGIES further solidifies this fit. The GATE rank in Data Science & AI also shows a commitment to the field. The breadth of skills listed (Python, SQL, C++, various ML libraries) suggests a versatile individual who can contribute to different aspects of AI development. The academic projects are well-described and show initiative.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project descriptions, tackling complex challenges like optimizing ETA and developing disease detection algorithms. The ability to work on diverse projects (traffic, finance, medical imaging) suggests adaptability. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.