Hi, I'm
I am a Full Stack Web Developer and Machine
Learning Enthusiast who loves exploring the endless possibilities of technology by
solving problems with code and data.
Introduction
Hi, I'm Mahi Attri, a third-year student pursuing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning from University of Petroleum and Energy Studies, Dehradun.
I am passionate about creating intuitive and dynamic web applications, and I enjoy working on both the visual and functional aspects of software. My academic and project experiences have equipped me with a solid foundation in programming, problem-solving, and innovative technology solutions.
My academic and professional experiences encompass a wide range of skills, from programming in Python, C/C++ and Java to developing complex machine learning models and full-stack web applications. I am passionate about leveraging technology to create innovative solutions and have successfully contributed to various projects and internships, honing my abilities in both research and practical application.
I also have a passion for writing and find joy in sharing my insights and experiences through engaging blogs, detailed research papers, and thought-provoking social media content.
View ResumeTechnology Enthusiast
Software Engineer
Technical & Content Writer
Work Experience
My Journey So Far
AI Intern
IBM
June 2025 – July 2025• Building an end-to-end machine learning pipeline for environmental forecasting across 500+ Indian locations using OpenAQ and CPCB datasets; training regression models for pollutant prediction.
• Identifying environmental anomalies, with 40% of water stations showing abnormal pH and 23% reporting low oxygen.
Machine Learning Intern
Quality AI
January 2025 – April 2025• Built an AI-powered Skin Assistant using the ConvNeXt deep learning model, achieving 92.30% accuracy in personalized skincare recommendations and early skin issue detection.
• Explored RAG with a vector database and curated dermatology datasets to improve response quality.
Certificate Appreciation Letter Letter of Recommendation
Project Intern
Infosys SpringBoard
February 2025 – March 2025• Pioneered an AI-driven Aadhar Identity Validation System, addressing real-world verification challenges.
• Applied AI/ML methodologies for data processing and model deployment, achieving 85% verification accuracy.
• Best performer of the internship and received an extended internship offer.
Certificate
Organizing Committee Member
REACH Virasat – Powered by ONGC
17 October 2024 – 25 October 2024• Actively contributed to the organization and execution of Virasat 2024, India’s largest heritage and arts festival, presented in association with UPES.
• Collaborated with a team to manage and coordinate front-stage activities, ensuring seamless performances by renowned artists like Malini Awasthi and Pt. Sajan Mishra.
• Played a key role in enhancing audience engagement during captivating folk performances, including Goa’s Cultural Fusion and Uttarakhand’s Cholia.
• Ensured smooth on-stage transitions and supported artists throughout the event.
Certificate
Machine Learning Intern
Bharat Intern
July 2024 - August 2024• Created predictive models for House Price Prediction, Movie Recommendations, and Iris Classification using Linear Regression, Neural Networks, and collaborative filtering with Python, scikit-learn, and TensorFlow.
• Performed data cleaning, standard scaling, one-hot encoding, and model evaluation with metrics like MSE and R²
• Created Tkinter interfaces for predictions and utilized joblib and TensorFlow for model serialization.
Certificate
Machine Learning Intern
CodSoft
June 2024 - July 2024• Developed machine learning models for Movie Genre Classification, Credit Card Fraud Detection, Customer Churn Prediction, Spam SMS Detection, and Handwritten Text Generation during a virtual internship.
• Applied advanced techniques including TF-IDF, word embeddings, and diverse classifiers such as Naive Bayes, Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting to address complex data challenges.
• Gained practical experience in data preprocessing, model training, and evaluation, contributing to solutions for real-world applications in machine learning and artificial intelligence.
Certificate
Editorial Team Core Member
NSS UPES
December 2023 - January 2025• Crafted compelling content for NSS UPES publications and social media, including posts for Martyrs Day and blood donation camps, enhancing event visibility and engagement.
• Collaborated on strategic content planning and supported event initiatives, contributing to effective communication and successful camp operations.
Editorial Team Core Member
ACM UPES
July 2023 - January 2025• Led Prodigy 24's success and actively contributed to strengthening the community within UPES ACM and ACM-W Student Chapters through dedicated involvement.
• Created impactful Instagram captions for ACM UPES, boosting engagement and visibility across social media platforms.
Certificate
Research Intern
UPES
May 2023 - August 2023• Authored a comprehensive research paper titled "Tiger Poaching in The Sundarbans".
• Delved into diverse facets of Computer Science, honing skills in research paper composition.
• Executed meticulous data collection and generated graphical representation to bolster research findings.
Certificate
Social Intern
Indian Development Foundation
June 2023 - July 2023• Conducted insightful research and submitted comprehensive reports, showcasing strong analytical skills and attention to detail.
• Demonstrated exceptional communication skills and aligned efforts with United Nations Sustainable Development Goals during school visits and interactions.
• Worked empathetically with underprivileged communities and contributed innovative solutions for impact.
CertificateProjects
AadharVerify – AI-Based Fraud Management System
Developed an AI-powered Aadhaar verification system with 85% identity validation accuracy and a 30% improvement over rule-based methods, using YOLO for classification, EasyOCR for extraction, and fuzzy matching for verification. Established an enterprise-scale platform with bulk processing, MySQL database integration for result storage, and Excel report generation. Designed an interactive dashboard for real-time metrics, session tracking, and data visualization.
Technologies Used: Python, MySQL, Flask
View ProjectRetailOptix – Multi-Agent Retail Inventory Management System
Orchestrated a system with specialized AI agents for demand forecasting, inventory management, pricing optimization, and customer analysis, optimizing stock levels across multiple store locations and product categories. Developed ML models for category-specific demand prediction with 92% accuracy, integrated LLaMA3 (Ollama) for intelligent inventory reordering and customer segment insights. Created a Flask-based dashboard showing 12% fewer stockouts and 8% less overstock via a message-bus architecture.
Technologies Used: Python, SQLite, Flask, LLM
View ProjectResearch Intelligence – LLM-Powered Interactive Document Assistant
Engineered a local AI-driven assistant that analyzes structured PDF and TXT documents, delivering concise summaries with 99.9% factual accuracy (manually evaluated). Enabled Ask Anything for real-time Q&A and Challenge Me to generate logic-based questions and paragraph-level feedback. Tuned prompts for hallucination control, reducing reading effort by 70%.
Technologies Used: Python, Streamlit, Ollama, NLTK
View ProjectAI Scene Integration Studio
Architected an AI system for photorealistic person-scene integration using GrabCut segmentation, feathered alpha blending and synthetic shadow rendering through OpenCV. Implemented a modular Flask backend to support image uploads, mask extraction, Gaussian feathering and final image synthesis, with structured routes for processing, rendering and output file serving. Deployed on Render with a responsive UI featuring drag-and-drop upload, live preview and progress tracking.
Technologies Used: Python, OpenCV, Flask, HTML/CSS, JavaScript, Render
View ProjectTravel Optimizer for Uttarakhand
Developed a Java-based application with a GUI featuring interactive map visualization, enabling users to pan, zoom, and explore the region. Integrated a MySQL database to store and retrieve information about tourist spots and connections, with route optimization using the Depth-First Search algorithm. Designed a user-friendly interface for selecting starting and ending points, displaying route details, and visualizing the optimal path on the map.
Technologies Used: Java, MySQL
View ProjectTestimonials
"Mahi Attri proved to be attentive, responsible, and reliable during her Machine Learning internship at Sentienta QualityAI. She consistently showed initiative, handled tasks with confidence, and displayed a rapidly growing command of machine learning. Her ensemble modeling and predictive analytics work delivered real results, and her team-first mindset and clear communication made her a trusted and valued contributor. Mahi is driven, dependable, and a pleasure to work with—I'm confident she'll go on to accomplish great things."
Nizaul Rahman
CEO, Sentienta QualityAI
View"Mahi Attri demonstrated exceptional curiosity and diligence throughout her research internship under my supervision. She showed a deep understanding of the subject matter and contributed significantly to the success of our paper, 'Tiger Poaching in The Sundarbans'. Her attention to detail, analytical thinking, and strong work ethic stood out. Mahi consistently met deadlines, showed initiative, and delivered high-quality research. I extend my best wishes for her continued success and personal growth."
Dr. Tanupriya Choudhury
Professor, UPES Dehradun
Senior Member, IEEE | Honorary Secretary, IETA | Chair, SACSRD
View
Hackathons
Showcasing Innovation Through Competition
Infosys Global Hackathon
Team Leader · July 2025
Proposed ChargeSmart, an AI-powered EV infrastructure optimizer for smart routing, station tracking, forecasting, and unified charging/swapping APIs. Advanced to next round.
Smart India Hackathon
Participant · September 2024
Contributed to an AI/ML system to detect face-swap deepfakes and bolster digital media authenticity.
Myntra HackerRamp
Team Leader · Jun–Jul 2024
Ranked top 1,214 of 10,000+ teams. Proposed Myntra Price Tracker, Subscription Model, and Custom Tailoring to enhance UX. Advanced to Round 2.
View CertificatesCertifications
Machine Learning Certification – Simplilearn · November 2024
View Certificate
Infosys Springboard Certifications · August 2024
Introduction to Data Science, Natural Language Processing, Artificial Intelligence, Deep Learning
Computer Vision 101, Generative Models for Developers
View Certificates
Contact Me
Have a project in mind? Let's work together to bring your ideas to life!
Other ways to reach me:
mahi.108260@stu.upes.ac.in
linkedin.com/in/mahi-attri04
github.com/mahi-attri