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ADITYA_NAMDEO //
DATA & ML SYSTEMS DEVELOPER
Researching and implementing deep learning models, training predictive regression arrays, and automating n8n pipeline workflows from native Kotlin backend layers to live cloud deployments.
$ WHO AM I
I'm an undergraduate Computer Software Engineering student at BGIEM with a core focus on building resilient, intelligent systems. My academic and development track drives me to bridge complex data structures and algorithmic logic straight into clean, production-grade deployment code.
Recently I have completed my experience as a Machine Learning Intern at the Suvidha Foundation, where I focused on researching, building, and deploying deep learning models. My work inside advanced tech spaces is backed by global recognition, highlighted by my selection as a delegate for the international HPAIR 2026 Harvard Conference.
"When I'm not compiling predictive models in Python, you'll find me engineering backend microservices in Kotlin, orchestrating automated workflow node sequences via n8n, or analyzing runtime script bottlenecks."
01 // Machine Learning
Researching deep learning frameworks, training predictive regression arrays, and integrating generative vision automation pipelines like the Avi engine.
02 // Data Engineering
Structuring rule-based data cleaning engines, processing massive training sequences, and optimizing curated datasets for model validation token targets.
03 // Systems Integration
Orchestrating automated operational node networks using n8n, building structured application back-ends in Kotlin, and configuring localized infrastructure server clusters.
Latest Deployments
_ Deployment pending
Avi Automated Visual Intelligence
Engineered an AI-powered pipeline integrating FFmpeg, Firebase, and the Gemini Vision API to automatically extract and classify screen data streams into intelligent insights.
Used Bike Price Predictor
Developed a high-precision ML valuation engine using linear regression to predict fair market motorcycle prices with 94% accuracy.
Content-Based Movie Recommender
Deployed an interactive application that calculates content similarity across thousands of data points to fetch live movie recommendations via the TMDb API.
JOURNEY // HISTORY
MACHINE LEARNING INTERN
SUVIDHA FOUNDATION
- Engineered large data pipelines applying custom rule-based parsing architectures.
- Pruned textual dataset anomalies to lock target training pairs down within high-quality validation thresholds.
- Collaborated on building machine learning algorithms for system data automation.
CORE TECHNICAL MEMBER
MICROSOFT STUDENT CHAPTER
- Leading the technical direction and executing developmental strategies for the campus chapter.
- Organizing and managing core technical events, workshops, and student engagements.
- Fostering collaborative problem-solving and software development within the student community.
B.TECH IN COMPUTER SCIENCE
BADERIA GLOBAL INSTITUTE OF ENGINEERING & MANAGEMENT
- Currently specializing in Machine Learning paradigms and foundational Core System Designs.
- Deeply engaging in core Data Structures & Algorithms (DSA) optimization metrics using C++.
- Managing local terminal deployments, distributed system architectures, and scripting automation protocols.