"Start Before You're Ready."
I am an AI/ML Engineering Student from India focused on the mathematical and structural primitives of intelligent systems. I specialize in engineering deterministic data workflows, processing high-throughput vector matrices, and analyzing foundational language model structures.
Currently training for advanced theoretical research tracks while actively contributing to open-source systems architecture.
- National Honors: Successfully cleared the highly competitive ISRO Technical Assistant (Computer Science) national written examination.
- Academic Track: Preparing for GATE DA (Data Science & AI) with a long-term goal of executing advanced research at IISc Bangalore.
- Open Source Contributor: Actively contributing to KathiraveluLab/Beehive — optimizing authentication pipelines and health monitoring endpoints.
- Core Mathematics: Linear Algebra (Matrix Decomposition), Probability Distributions, Statistical Optimization
- Machine Learning & Theory: Supervised/Unsupervised Learning, Sequential Architectures, Transformer Attention Mechanics, Vector Similarity Frameworks
- Languages & Execution: Python, Java, SQL, PHP, C, TensorFlow, Scikit-learn, NumPy, Pandas
- Infrastructure Tools: Linux CLI, Git/GitHub, Vector Databases, MySQL, MongoDB
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🛡️ MediGuide AI — Multimodal Optimization Pipeline * Built an end-to-end numerical ingestion engine that parses complex multimodal medical datasets for structured text reports.
- Engineered algorithmic token-tracking wrappers and exponential backoff states to intercept and bypass upstream 429 rate limits.
- Tech: FastAPI, Gemini API, Python, REST APIs.
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🐝 Beehive (University of Alaska Research Infrastructure)
- Refactoring core distributed authentication layers and deploying system status monitoring telemetry nodes.
- Tech: Flask, MongoDB, Docker.
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🧠 NeuroPulse AI — Adaptive Recommendation Engine
- Transformed raw student performance log arrays into structural multi-dimensional vector matrices to compute dynamic difficulty progression scales using cosine similarity math.
- Tech: Python, Vector Embeddings, Mathematical Similarity Scoring, NLP.
- NPTEL / SWAYAM: Deep Learning for Natural Language Processing — Theoretical mastery of sequence models and attention weights.
- Google Cloud Specializations: Attention Mechanism (ID: 15563771), Large Language Models (ID: 8305888), Introduction to Image Generation (ID: 15426501).
"Create More than You Consume." "Try the Hard Thing."