ML engineer / Python developer
Building intelligent systems that work beyond the demo.
I'm Niket Girdhar — an ML engineer focused on applied AI, reliable Python systems, and turning research ideas into useful products.
15+
Projects
4
Publications
10+
Events & talks
● Available for opportunities
Builds
Recent projects
A more visual snapshot of the systems, tools, and interfaces I have been shipping.
Project
Automotive Health Monitoring System
Developed a multimodal predictive maintenance framework using telemetry and acoustic data to estimate Remaining Useful Life (RUL) and detect machine anomalies in automotive systems
PythonTensorFlowLibrosaPandasDeep LearningSignal Processing
Project
MicroML
A lightweight machine learning library in pure C99 with core models and utilities built from scratch
C99Machine LearningCMakeAlgorithms
Writing
Recent posts
Notes, explainers, and experiments shaped into something easier to revisit.
Post
The 99% Accuracy Trap - Why High Scores Often Signal Failure in Machine Learning
High accuracy can hide overfitting, leakage, imbalance, and shortcut learning. Real ML quality is measured by generalization, robustness, calibration, and business reliability.
Post
RedSage - Building a Cybersecurity Generalist LLM with Agentic Data Augmentation
Tiny Recursive Models prove that thinking longer through recursion can outperform thinking bigger through scale in AI reasoning.
Experience
Recent experiences
The collaborations, internships, and practical environments that shaped how I build.
Experience
McKinsey.org Step Forward Program 2025
McKinsey.org Forward is a free ten-week learning program designed to equip individuals at different stages of their careers from career starters to job changers—with practical skills to succeed in the future of work.
Experience
Amazon ML Summer School 2025
Amazon ML Summer School aims at providing students the opportunity to gain Machine Learning (ML) skills which is the first step in becoming ready to build a career in ML.
Testimonials
Recommendations
Notes from collaborators and mentors who have seen how I approach engineering, learning, and teamwork.
Recommendation
Ralph Samuel Thangaraj
Assistant Professor at VIT Chennai
I am happy to recommend Niket Girdhar, whom I taught as his Python faculty in Semester 1 and later guided on two important projects. He has always been sincere, hardworking, and eager to learn new technologies. For Project 1, which he completed individually, he developed a lightweight custom CNN model for pneumonia detection using chest X-ray images. This reflected his ability to work independently, take ownership, and apply machine learning concepts effectively. For his Capstone Project, completed as part of a team, he worked on predictive diagnosis of automotive engines using acoustic and telemetry data. In this project, he demonstrated strong collaboration skills along with the ability to contribute meaningfully to solving real-world challenges. Niket is technically strong, quick to learn, and adaptable in both independent and team-based environments. I am confident he will do well in any academic or professional opportunity he pursues. I wish him all the best for his future.
Recommendation
Anandan Perumal
Assoiate Professor at VIT Chennai
I had the pleasure of mentoring Niket Girdhar during his 3rd year as a student in my Operating Systems course. Throughout the semester, Niket consistently demonstrated curiosity, a strong grasp of system concepts, and a proactive approach to problem-solving. What sets Niket apart is his ability to apply theoretical knowledge to practical, impactful projects. He worked under my guidance on a patent idea aimed at enhancing system security through zero-trust methodologies — an area where even seasoned professionals tread carefully. Niket’s commitment to research and detail-oriented approach made the project truly stand out. Additionally, Niket collaborated on a research paper involving CNN-based classification models, displaying both technical proficiency in machine learning frameworks and a keen understanding of their applications. His ability to seamlessly bridge system-level concepts with AI/ML techniques reflects his versatility and forward-thinking mindset. I am confident Niket will continue to excel in any challenging environment he chooses. I highly recommend him for opportunities in system software, cybersecurity, and AI research domains
Learning
Recent certifications
Structured learning, hands-on practice, and the topics I have been sharpening lately.
Certification
Getting Started With Deep Learning
NVIDIA
Deep LearningNeural NetworksConvolutional Neural NetworksNatural Language ProcessingData Augmentation
Certification
Oracle Cloud Infrastructure 2025 Generative AI Professional Certification (Exam 1Z0-1127-25)
Oracle
LLMsGenerative AIPrompt EngineeringT Few Fine-TuningChatbotsRAGVector Database
Community
Recent events
Talks, workshops, and community moments that add texture beyond shipping code.
Research
Recent publications
Published work and documentation around problems worth understanding in more depth.
