Nitin Kumar // Core ML Engineer

NITIN KUMAR // CORE ML ENGINEER

ISRO Cleared ISRO Technical Assistant Written Exam

GATE GATE DA 2027 Aspirant // Targeting IISc Bangalore

Math + Engineering Stack

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Linear Algebra Matrix Decomposition Probability Distributions Statistical Optimization

MATHEMATICAL DEPENDENCY Hover a skill to reveal its foundation chain

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Supervised Learning Unsupervised Learning Sequential Models Transformer Attention Vector Similarity

MATHEMATICAL DEPENDENCY Hover a skill to reveal its foundation chain

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Python Java SQL TensorFlow Scikit-learn NumPy Pandas

MATHEMATICAL DEPENDENCY Hover a skill to reveal its foundation chain

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Git/GitHub Linux Environments MySQL MongoDB Vector Databases

MATHEMATICAL DEPENDENCY Hover a skill to reveal its foundation chain

Project Execution Pipelines

Multi-Agent Coordination System — Kaggle Agents Intensive

Designed a deterministic multi-agent state routing framework in Python to ingest and map real-time textual data streams.
Engineered strict verification topology forcing independent evaluation nodes to run validation algorithms across conflicting data strings.

Multimodal Optimization Pipeline — Built in 2026

Developed an end-to-end numerical ingestion script that parses complex multimodal datasets for structured report extraction via Gemini API.
Engineered token-tracking modules and exponential backoff wrappers to handle structural 429 rate limits dynamically under scale.

Adaptive Recommendation Engine — Google Gemini API Developer Competition

Engineered an adaptive learning engine by transforming raw performance metrics into multi-dimensional vector matrices.
Applied mathematical cosine similarity operations and distribution analysis to compute dynamic, scaling difficulty progression intervals.

Milestones & Credentials

April 2025 – May 2025

Architected ML pipelines with focus on training variance minimization and robust evaluation topology for production-scale model deployment.

B.Tech in CSE — AI/ML Specialization

Core curriculum spanning deep learning architectures, statistical optimization, and systems engineering for intelligent applications.

Diploma in AI/ML, 2022 – 2025 · Lateral Entry Merit

Foundation in machine learning fundamentals, programming paradigms, and applied AI project development.

Sequence Architectures & Attention Mechanisms

Mastery of recurrent and transformer-based sequence models, attention scoring, and language representation learning.

Attention Mechanism · Large Language Models · Image Generation

Validated expertise across modern generative AI stacks, from attention primitives to multimodal image synthesis pipelines.