Veer Malhotra

Gurgaon

Summary

Third-year B.Tech student in Data Science and Engineering with strong hands-on experience in machine learning, deep learning, computer vision, reinforcement learning, and full-stack development. Motivated individual with business acumen and willingness to take on challenging roles. Solid academic grounding in High Performance Computing, Operations Research, and core computer science fundamentals, with practical exposure to TensorFlow, Keras, and large-scale model training. Actively seeking Data, AI, and ML-focused roles to build scalable, intelligent systems.

Overview

year of professional experience

Certification

Work History

Intern

Ally Health Solutions

07.2025 - 09.2025

Analyzed and improved process bottlenecks to enhance operational efficiency.
Worked with both structured and unstructured operational data, gaining hands-on exposure to real-world data pipelines and usage.
Developed practical understanding of insurance policy structures and end-to-end claims lifecycles.
Observed how data-driven reporting and analytics are used to improve operational efficiency and client outcomes.

Tech Intern

GlobalLogic India Pvt. Ltd.

05.2024 - 07.2024

Contributed to the Eyecare Partner enterprise project, working across both frontend and backend components.
Collaborated on enterprise-scale systems, ensuring compliance and data integrity.
Designed user-centric features with consulting-style problem-solving approach.
Developed modular code and contributed to Agile teams effectively.
Strengthened skills in debugging, clean code practices, and production-grade software quality through real-world development.

Education

B.Tech - Data Science & Engineering

Manipal Institute of Technology

Manipal

01-2027

Skills

Programming languages: Python, C, C, Java, JavaScript, SQL
Data science libraries: TensorFlow, Keras, Scikit-learn, OpenCV, MediaPipe, NumPy, Pandas, Matplotlib
Database management: MySQL, MongoDB

Performance optimization: CUDA,MPI, parallel computing
Machine learning techniques: machine learning, deep learning, CNNs, RNNs, LSTMs, transformers, VAE's, reinforcement learning
Development practices: feature engineering, model optimization, Agile/Scrum methodologies, Data analysis

Certification

• Generative AI with Large Language Models – Coursera

• MongoDB: The Complete Guide to NoSQL Database Development - Coursera

Relevant Academic Coursework

Data Structures & Design and Analysis of Algorithms
Deep Learning (CNN, RNN, LSTM, Transformers, Encoder–Decoder)
High Performance Computing (CUDA, GPU Acceleration)
Operations Research (Optimization & Decision Models)
Operating Systems
Data Analytics
Object-Oriented Programming
Data Privacy & Security
Engineering Economics

Projects

Budget Buddy – Personal Finance Management App, Built a multi-account finance app with automated SMS parsing for real-time transaction tracking., Designed interactive dashboards for spending analysis, budgeting, and insights., Optimized for cross-device responsiveness and low-latency performance.
Spider Robot – Reinforcement Learning Agent, Trained a robot in a 3D simulation environment using custom reward engineering., Implemented goal-driven policies using reinforcement learning algorithms., Achieved stable locomotion and efficient path planning.
Blackjack Strategy Predictor (Machine Learning) - Developed a real-time Blackjack decision advisor using Random Forest., Trained on 900,000+ gameplay records, achieving 93%+ prediction accuracy., Deployed as a Flask-based REST API for live prediction.
AI Mouse Controller (Computer Vision)- Built a gesture-controlled virtual mouse using MediaPipe and OpenCV., Implemented click, drag, and cursor smoothing logic for stable movement., Added real-time debugging overlays for performance calibration.
ChatChef – AI Recipe Recommendation System, Designed an AI-powered dietary recommendation system with allergen filtering., Implemented multi-criteria recommendation logic based on user preferences., Optimized backend queries for scalable, low-latency recommendations.

Timeline