About
Software engineering student graduating in 2027 with 8 months of remote startup experience shipping production systems end to end. Builds full-stack services in Python and TypeScript, and develops ML and LLM pipelines with a focus on maintainable, testable, and fault-tolerant systems.
Experience
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Software Engineering InternThoughtWire.AIDec 2025 – Jul 2026
Education
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B.E.RV Institute of Technology and ManagementInformation Science and Engineering · 2027
Skills
- SQL
- Computer Networks
- Express.js
- FastAPI
- Python
- CSS3
- Java
- JavaScript
- Node.js
- Tailwind CSS
- NumPy
- Pandas
- scikit-learn
- React
- PyTorch
- TensorFlow
- Responsive Design
- TypeScript
- Operating Systems
- Next.js
- OpenAI API
- OAuth
- JWT
- Microservices
- Scrum
- API Integration Understanding
- CI/CD
- Secure Coding
- HTML5
- Design Systems
- SDLC
- Design Patterns
- LangGraph
- Data Structures and Algorithms
- MVC Architecture
- Pydantic
- C/C++
- SQLAlchemy
- Oop
- Google Adk
- Advanced DBMS
- uvicorn
Projects
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AETHER-CRYPTO – 128-bit SPN Block CipherPython, Algorithm Design
Implemented a block cipher from first principles, including S-box construction, permutation layers, and key scheduling.
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KuChiKu – AI Interview and Evaluation PlatformReact, Node.js, Express.js, Supabase
Built a full-stack interview and evaluation platform with LLM-generated questions, real-time scoring, authentication, and modular services.
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Contract Risk Analyzer – Agent Training EnvironmentPyTorch, Docker, FastAPI
Built an OpenEnv-compatible environment with versioned action/observation APIs and tiered F1-based evaluation across 13 clause risk types; containerized and deployed to Hugging Face Spaces.
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LugWatch – Agentic Competitive IntelligenceLangGraph, Ollama, FastAPI, SQLAlchemy, pytest
Architected a three-stage LangGraph agent state machine for external data collection and cross-brand recommendations, with local Mistral 7B serving, pytest coverage, and offline fallback.
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Kavach AI – Production ML PlatformFastAPI, React 19, PyTorch, ONNX, GraphSAGE
Built a four-module anti-fraud platform with reproducible training scripts, ONNX CPU inference, GraphSAGE-led money-mule detection, and a health endpoint that reports true loaded-model state.
Courses & certifications
- Low Code / No Code Workshop · ClassVerse · 2025
- IBM AI and Cloud Computing · IBM · 2024
- Tableau Data Visualization · 2024
🎯 Hobbies & interests
- GitHub repositories
- Smart Draft
- Vektor
- Gmail Automation Agent