
AI Engineer with 2+ years in Python, Django, and Machine 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
Tanu Gautam is a proactive B.Tech (CS AIML) student with 2.5 years of hands-on experience through internships and projects. Possessing strong skills in Python, Django, Machine Learning, and AI concepts, Tanu is adept at developing responsive web applications and implementing AI models. With a foundational understanding of data structures, algorithms, and system operations, Tanu is seeking to contribute to innovative AI and software development initiatives.
Ideal Elementary Inter College, Lucknow.
Intermediate · Science
June 1, 2021 – May 31, 2022
Lucknow Modern College
High School
June 1, 2020 – May 31, 2021
School of Management Sciences Lucknow
B.Tech · CS(AIML)
N/A – June 30, 2026
Techpile Technology Pvt.Ltd
Python With Django
August 1, 2025 – Present
Lucknow, Uttar Pradesh, India
Softpro India Computer Technologies Pvt.Ltd
Python With Machine Learning
November 1, 2024 – Present
Lucknow, Uttar Pradesh, India
Retinal Disease Classification using Vision Transformer
June 27, 2026 – Present
Developed a Deep Learning Model to classify retinal diseases using Vision Transformer(ViT).
Smart Student Score Predictor
June 27, 2026 – Present
Implemented this project using HTML, CSS, Python, Machine Learning and Streamlit.
View ProjectOnline Course Portal
June 27, 2026 – Present
Implemented OCP using Python, Django (backend) and HTML, CSS, Bootstrap, JavaScript(frontend).
View ProjectAI Learnathon Program
GUVI
June 1, 2026 – Present
Certificate (Techpile Technology Pvt.Ltd)
Techpile Technology Pvt.Ltd
June 1, 2026 – Present
Certificate (Softpro India Computer Technologies Pvt.Ltd)
Softpro India Computer Technologies Pvt.Ltd
June 1, 2026 – Present
Generative AI
GUVI
June 1, 2026 – Present
Introduction to ML
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a strong interest in AI/ML, which aligns well with an AI Engineer role. The diversity of projects (web development, ML prediction, deep learning classification) indicates a broad learning approach. Participation in extracurricular activities suggests a willingness to engage and contribute to a community, which can be a positive cultural fit.
Soft Skills & Operational Fit
The candidate's extracurricular activities as a volunteer and cultural coordinator suggest good organizational and teamwork skills, which are beneficial for operational fit. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.