Third-year B.Tech Computer Science & AI student building a foundation in data structures, algorithms, and software development — while applying that foundation to practical machine learning systems.

I'm currently in my third year of a B.Tech in Computer Science & Artificial Intelligence at PSIT, Kanpur. My core focus is strengthening my DSA and software engineering fundamentals in C++ and Python, and I apply what I learn by building end-to-end projects — from ML pipelines to multi-agent AI systems. I hold a published Indian Patent Office patent for a sensor-driven assistive hardware system, which grew out of the same instinct that drives most of my projects: take a real problem and build something that actually works, end to end. I'm working toward SDE and AI/ML internship roles, with product-oriented AI as a longer-term interest.

• Building FraudLens, an explainable credit card fraud detection pipeline — EDA and class-balancing (SMOTE) are done; XGBoost classification with a SHAP/LIME explainability layer is in active development, with a FastAPI + React delivery layer planned next.
• Strengthening core DSA and object-oriented design through daily problem-solving practice.
• Exploring multi-agent AI system design (Google Gemini, Agent-to-Agent protocol).

Languages

  SQL

Backend / Frameworks

AI / ML

Google Gemini  ·  XGBoost  ·  SHAP  ·  LIME  ·  RAG  ·  Prompt Engineering  ·  A2A Protocol

Data / Platforms

Developer Tools

I practice DSA consistently and hold a 4-star rating on HackerRank, alongside a SQL (Basic) certification. I'm actively working through structured pattern-based problem sets to build interview-ready algorithmic fluency.

• FraudLens — Explainable ML pipeline for credit card fraud detection. EDA + SMOTE class-balancing complete; XGBoost + SHAP/LIME explainability layer in progress. Python XGBoost FastAPI React
• ResearchMind AI — A Retrieval-Augmented Generation (RAG) tool for searching, summarizing, and identifying trends across research papers. Python NLP RAG LLMs
• ShopSphere AI — Multi-agent e-commerce assistant using ML-based recommendation logic and NLP intent parsing. Python Generative AI NLP
• AI Agents (Google x Kaggle 5-Day Intensive) — Built a currency converter agent and a multi-agent customer support/product catalog system using Gemini and the Agent-to-Agent (A2A) protocol. Python Gemini A2A
• SpineEase — SpineEase — Patented assistive hardware that senses bad posture and physically corrects it in real time using flex sensors and pneumatic actuators. Python Microcontrollers Sensors

• 🏅 Patent Published — Indian Patent Office (No. 34/2025), for a sensor-driven assistive hardware system using pneumatic actuators for real-time posture correction
• 🎓 OCI Certified AI Foundations Associate
• 💻 HackerRank 4-Star Problem Solver
• 🎤 Presented SpineEase at TECHKRITI, IIT Kanpur and an international engineering conference
• 🏆 Runner-up, TechExpo'24, PSIT Kanpur
• 🚩 Smart India Hackathon (SIH) 2025 participant
• 👥 Joint President, IGNITIA — PSIT Kanpur's annual techno-cultural fest, coordinating cross-functional teams and external sponsors
• ✍️ Content Writer, MeetKats — authored technical articles translating ML/AI concepts for general audiences
• 🌱 Completed the McKinsey Forward Program

• Object-oriented design in C++
• Deeper distributed-systems and backend fundamentals
• Applied explainable AI (XAI) techniques in production-style pipelines

• 📧 mishrashashmit09@gmail.com
• 💼 LinkedIn
• 💻 LeetCode
• 🐙 GitHub