Kartik Garg
Associate Ai Engineer (Intern) @National Highways Authority Of India
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WORK HISTORY
Associate Ai Engineer (Intern) @National Highways Authority Of India
EDUCATION
DAV Schools Network
High school, Non - medical
University School of Information, Communication & Technology (USICT)
Bachelor of Technology - BTech, Electrical and Communication Engineering
ABOUT KARTIK GARG
Final-year B.Tech (ECE) student at USICT, GGSIPU (graduating July 2026), with dual minors in Data Analytics & Machine Learning and Computer Engineering. I’m actively seeking entry-level roles in Data Science / Data Analytics, where I can transform messy, real-world data into actionable decisions.I enjoy working at the intersection of applied machine learning, model evaluation, and product analytics—handling both structured and unstructured data using Python and SQL. My work involves cleaning data, running experiments, benchmarking models, and translating insights into outcomes teams can actually use.Current RoleAssociate AI Engineer Intern @ NHAI (Feb–Jun 2026)Building GenAI-powered integrations that reduce manual workflows by ~70% across internal processes.Experience HighlightsAI Analyst Intern @ PyVision AnalyticsWorked on large-scale prompt–response datasets to evaluate LLM performance against human baselines. Designed structured evaluation rubrics and contributed to RLHF-style feedback loops to improve model alignment.Research Intern @ NIT WarangalConducted comparative research across 10 plant disease datasets using MobileNet and EfficientNet architectures with attention mechanisms, documenting performance insights.ML Intern @ DRDOBuilt CNN-based models for encrypted traffic classification (73% accuracy on 10K+ samples), with a strong focus on reproducibility and validation.Key ProjectsRechk — Research paper classification system (86%) using RoBERTa + Sentence-BERTSynapse — Cancer detection platform (92%), Top-60 at International FHIR Healthcare AI HackathonMulti-Model Price Prediction — Built a parallel model evaluation framework during Amazon ML ChallengePublicationsSPIN 2025 — Advancing Transfer Learning with GAP & Depth ConstraintsSpringer — MSW Management Prediction Through ML ModelsRecognitionAWS Certified AI Practitioner · AWS Community Builder (Top 600 globally) · Microsoft Learn Student Ambassador · Intel Student AmbassadorLeadershipStartup Head — Institution’s Innovation Council (₹5 Cr funding event, national hackathon)CEO — USICT Alumni Committee member network)Technical StackPython · SQL · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn · Plotly · EDA · Feature Engineering · Statistical Analysis · NLP · Computer Vision · Model EvaluationI’m open to Data Science / Data Analyst opportunities where I can work on real datasets, collaborate with cross-functional teams, and drive data-informed d••••••••@gmail.com
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