I am an AI and ML-focused Computer Science Engineer with deep expertise in backend systems, automation, and intelligent application development. My skill set spans Python, Node.js, Express.js, MongoDB, Flask, and cutting-edge tools like LangChain, Hugging Face Transformers, and TensorFlow. I specialize in integrating LLMs with external knowledge sources, fine-tuning models for domain-specific reasoning, and building end-to-end AI-driven solutions with real-world impact.
Strengths:
AI/ML System Design & Integration
LLMs & Generative AI (C1 Certified)
Backend Engineering (Python, Flask, Node.js, Express.js)
Knowledge Graphs + LLMs for Enhanced Reasoning
DSA & Problem Solving (Winner: DP & Backtracking Challenge)
Team Collaboration & Hackathon Leadership
Model Deployment with Flask APIs, E2E Pipelines
Projects:
Trip Generator: AI-powered platform offering personalized travel itineraries with integrated budget planning.
Bank Fraud Detection: SOM-based unsupervised model to detect anomalies in banking datasets with neuron activation maps.
AI Resume Builder: GPT-based resume generator with real-time content adaptation.
NLPulse: Sentiment detection engine using BoW and logistic regression with 89% accuracy.
Customer Churn Prediction: Deep learning-based ANN to predict churn, improving business retention strategies.
What Drives Me
I am driven by the challenge of blending AI with backend intelligence to solve practical, high-impact problems—from smart farming to real-time fraud detection. My goal is to create scalable, AI-native solutions that are both technically rigorous and user-centric.