Hi, my name is Nischal.
I build intelligent, end-to-end systems with a focus on Machine Learning, Natural Language Processing, and Cybersecurity.
01. About Me
I'm a Computer Science Undergrad at Geethanjali College of Engineering & Technology, driven by a passion for building robust, scalable, and intelligent applications from the ground up. My work spans the full spectrum of development—from low-level systems in C to advanced, distributed AI pipelines.
My core focus is on the intersection of **Machine Learning** and **Cybersecurity**, where I enjoy creating custom NLP models, developing security tools, and designing complex, data-driven systems. I thrive on architecting complete solutions, from MLOps and deployment to crafting interactive frontends.
🐾 Fun fact: I secretly believe all problems can be solved with cats.
Core Competencies:
- AI & ML Engineering
- Full-Stack Development
- Cybersecurity & Automation
- Distributed Systems
- MLOps & Deployment
- Low-Level Programming
- Interactive Web Apps
- Custom Framework Design
02. Technical Skills
03. Featured Projects
🤖 Zenith NLP Framework
An advanced, from-scratch NLP framework in PyTorch for training, fine-tuning (with LoRA), and deploying modern transformer models, featuring a full MLOps suite with Hydra, MLflow, and Docker.
View on GitHub🌊 InferFlow Engine
A powerful, declarative orchestration engine that introduces computational memory to AI workflows using a time-series database, enabling real-time meta-analysis and human-in-the-loop verification.
View on GitHub👾 Project CoderStale
A gamified, interactive terminal portfolio where you must exploit misconfigurations in a simulated filesystem and outsmart an AI sentinel (a TensorFlow model) to capture the root flag.
View on GitHub🖼️ High-Performance Image Search
A full-stack similarity search engine that uses a PyTorch pipeline for feature extraction and a high-performance C backend with a from-scratch k-d tree for real-time nearest-neighbor search.
View on GitHub🎬 Java Movie Sentiment Analyzer
An end-to-end application featuring a DistilBERT model trained in Python and exported to ONNX for high-performance inference in a pure Java application with full database CRUD functionality.
View on GitHub🧪 AI Medical Report Explainer
An advanced AI tool to automatically analyze and explain lab reports using OCR, NER, and a dual diagnosis system (rule-based and a ConvNeXt-Tiny CNN model), with a Streamlit frontend.
View on GitHub04. Get In Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team. Feel free to reach out!
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