Building AI Systems,Data-Driven Products &Modern Web Applications
B.Tech CSE student at KIIT University with a strong interest in Artificial Intelligence, Data Architecture, and Cybersecurity. I enjoy building intelligent systems that combine AI, data, and software engineering to solve practical, real-world problems.
About
I am a B.Tech Computer Science and Engineering student at KIIT University focused on Artificial Intelligence, Data Architecture, and Cybersecurity. I enjoy designing intelligent systems that combine AI, data, and software engineering to solve practical problems. Through projects like Apex Intel, SentinelIQ, and Reality Drift, I am building a strong foundation in creating scalable, data-driven applications while continuously expanding my knowledge of modern AI and software engineering.
Education Timeline
B.Tech CSE
KIIT UniversityCGPA: 8.75Technical Arsenal
Programming Languages
- Python
- TypeScript
- JavaScript
- Java
- C
- SQL
Frameworks & Libraries
- Next.js
- React
- FastAPI
- Express.js
- Tailwind CSS
Databases & ORM
- PostgreSQL
- Supabase
- Neon
- pgvector
- Redis
- Prisma ORM
- SQLAlchemy
AI & APIs
- OpenAI API
- Gemini API
- Serper API
- Vector Embeddings
- Semantic Search
Authentication & Integrations
- Google OAuth
- Resend
Cloud & Deployment
- Vercel
- Render
- Railway
- Cloudflare
- Google Cloud Run
- Upstash
Engineering Tools
- Git
- GitHub
- GitHub Actions
- Docker
AI-Assisted Development
- Claude Code
- OpenAI Codex
- AI-Augmented Engineering
- Rapid Prototyping
- Workflow Automation
Interests & Learning
Areas of Interest
- Artificial Intelligence
- Data Architecture
- Cybersecurity
- AI-Assisted Full Stack Development
Currently Learning
- Data Structures & Algorithms (DSA)
- Data Architecture
- Artificial Intelligence
- Generative AI
- Cybersecurity
- AI-Assisted Full Stack Development
Future Goals
Building practical AI applications
Learning Data Architecture concepts and systems
Strengthening Cybersecurity fundamentals
Developing Full Stack Applications using AI-assisted development workflows
Improving Data Structures & Algorithms problem-solving skills
GitHub Activity
Recent Repositories
Featured Projects
Aspirova
Problem Statement
Student opportunities — internships, fellowships, research programmes and competitions — are scattered across hundreds of separate company career pages, so the ones that matter are easy to miss entirely.
Solution
Built an opportunity almanac that crawls company ATS endpoints daily and indexes every listing into one searchable platform, linking each application back to its original source.
Key Features
- ▹26,000+ opportunities indexed across 4,700+ companies
- ▹Automated daily crawlers across 16 live sources
- ▹Full-text and vector-based semantic search
- ▹AI resume matching with no per-query LLM calls
- ▹Human-verified recurring programmes and fellowships
Apex Intel
Problem Statement
Startup due diligence requires extensive research across markets, competitors, risks, and business viability, making investment analysis time-consuming and fragmented.
Solution
Built an autonomous multi-agent platform that analyzes startups and generates structured investment memos for investors and analysts.
Key Features
- ▹Multi-agent startup evaluation
- ▹Market and competitor analysis
- ▹Risk assessment workflows
- ▹Investment scoring engine
- ▹Structured investment memo generation
SentinelIQ
Problem Statement
Analyzing public company filings and transcripts to detect inconsistencies and governance risks is a dense, fragmented, and time-consuming process.
Solution
Built an institutional-grade financial forensics engine that analyzes public data to detect potential fraud and governance risks.
Key Features
- ▹Institutional financial forensics
- ▹Fraud and inconsistency detection
- ▹Public filings and transcript analysis
- ▹Analyst-style report generation
- ▹Editorial and monospaced data visualization
Reality Drift
Problem Statement
People often struggle to understand long-term behavioral patterns and the future impact of their daily habits.
Solution
Built an AI-powered life pattern simulator that analyzes habits and predicts future behavioral trends over a 30-day horizon.
Key Features
- ▹Habit tracking and analysis
- ▹AI-powered future simulations
- ▹Personalized coaching insights
- ▹Behavioral trend prediction
- ▹Interactive analytics dashboard
Certifications
Machine Learning & Agentic AI
E&ICT Academy, IIT Roorkee
Summer Training & Internship Program
Enter the certificate ID printed in the top-right corner of the certificate.
Build with AI Certification
GeeksforGeeks
Adobe University Hackathon
Adobe
Certificate of Participation
Resume Overview
Education
KIIT University
B.Tech CSE
Academic Standing
8.75
Core Skills
Python, TypeScript, JavaScript, Java, C, SQL
Interests
Artificial Intelligence, Data Architecture, Cybersecurity, AI-Assisted Full Stack Development
Let's Connect
Ready to contribute to impactful engineering teams. Feel free to reach out via email or connect on LinkedIn.