Ekansh Khanulia
Programming
To make software robust and more accessible, strong fundamentals matter more than ever. I focus on building deep problem-solving ability, algorithmic thinking, and precise reasoning, which enables me to use modern AI tools with command and intent rather than dependency, and to design reliable, efficient systems from first principles.
LeetCode
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Codeforces
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Projects
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Sentence-Level Bias Detection
Detects sentence-level media bias in news by separating emotion-driven bias from framing-driven bias. Compares sentiment (tone) vs TF-IDF (framing) and uses RoBERTa + classical ML to flag sentences biased through framing even when tone is neutral.
AI Travel Agent
Full-stack travel planning app with a Gemini-powered chat agent. Collects preferences, searches flights and hotels (Booking.com), food and museums (TripAdvisor), and builds an itinerary; sessions and suggestions stored in SQLite.
CartPole DeepRL Benchmark Suite
Unified benchmark of deep RL algorithms on CartPole-v1: value-based (DQN), policy-gradient (REINFORCE, Actor–Critic, A2C), and PPO. Each method in its own module with training scripts; shared networks and plotting in PyTorch + Gymnasium.
Work Experience
Behavioural Segmentation
Real-time facial recognition and drowsiness detection to monitor staff attentiveness.
Certificates
Mathematical Biostatistics Bootcamp-II
Intensive training on probabilistic models and inference for biostatistical applications.
Mathematical Biostatistics Bootcamp-I
Foundations of biostatistics with hands-on problem solving and data interpretation.
Advanced Linear Models & Least Squares
Advanced regression theory, model diagnostics, and least-squares estimation techniques.
Get In Touch
Have a question or want to work together? I'd love to hear from you.