Hi, I'm Navaneeth.
Machine Learning Engineer & Developer
Building innovative AI solutions and responsive web experiences. Experienced in working with large-scale deep learning models, intelligent systems, and scalable full-stack applications to deliver measurable executive impact.
About Me
I'm a Computer Science student at VIT Chennai, specializing in Artificial Intelligence and Machine Learning. My expertise lies in building innovative and research-driven solutions using deep learning, computer vision, and large language models.
I've worked on impactful projects such as smart glasses for the visually impaired, spam detection systems, intelligent alarm systems, and Neural Radiance Fields (NeRF) for real-world scale 3D reconstruction.
Additionally, I've conducted research in transformers, LLMs, and federated learning, aiming to bridge advanced AI models with practical applications.
Technical Skills
Programming Languages
Machine Learning & AI
Tools & Technologies
Work Experience
AI Engineer
Exaqube TechnologiesBuilt AI-powered systems for the maritime industry, focusing on voyage cost optimization, revenue prediction, and operational intelligence.
Problem
Executives in large shipping companies struggled with delayed access to critical business insights. Data retrieval depended heavily on manual report generation, causing significant delays in decision-making.
Solution
Developed AI-powered platforms enabling real-time querying, analysis, and explanation of enterprise data. Transformed raw operational data into actionable insights within seconds.
Key Impact:
- •Enabled top-level executives to access business-critical insights instantly.
- •Eliminated dependency on manual reporting workflows.
- •Built systems allowing drill-down from high-level summaries to granular cargo-level data.
"Regularly interacted with CTOs, CFOs, and CXOs of major shipping companies to understand their decision-making challenges and translate them into AI-driven solutions."
Technical Intern
Siemens Healthineers, Bangalore- •Designed and developed a PoC for an LLM-powered clinical application to improve healthcare workflow efficiency; the solution is currently in the process of patent filing.
- •Designed and implemented a FastAPI server architecture to unify access to OpenAI SDK and locally hosted LLMs via OpenAPI endpoints.
Intel Unnati Industrial Training Program
Intel- •Developed a system to analyze contract documents using the Contract Understanding Atticus Dataset (CUAD).
- •Incorporated text preprocessing, Named Entity Recognition (NER) for clause classification.
- •Integrated template comparison to detect and highlight deviations, ensuring contract compliance and consistency.
Part-time Research Associate
Indian Institute of Science (IISc), Bangalore- •Worked on advanced machine learning projects and research in computer vision.
- •Collaborated with research teams on cutting-edge AI applications.
- •Developed and implemented novel algorithms for computer vision tasks.
AI Products
High-impact enterprise solutions developed to transform maritime operations.
Executive Dashboards
AI-enhanced dashboards built specifically for top-level executives, providing rapid, reliable insights from boardroom summaries to granular cargo-level traceability in seconds.
DataSense
AI-powered database querying system that answers questions and explains WHY using historical data and ERP deviation logs.
QubeSense
Document intelligence platform that parses, organizes, and answers queries from enterprise documents with structured storage.
SailWithAI
AI-driven CRM that recommends customer engagement strategies based on historical interactions, schedules, and location. Features real-time sync with HubSpot.
Key Achievements
Bengaluru Last Mile Challenge 2025
Winner of the Bengaluru Last Mile Challenge 2025, focused on solving urban mobility using AI.
Complex Problem
- •Predicting bus & auto travel times across multi-modal journeys.
- •Handling noisy and missing transport datasets in real-time.
- •Estimating uncertainty in urban traffic and vehicle availability.
Technical Approach
Education
B.Tech in Computer Science
2021 - 2025Vellore Institute of Technology, Chennai
Specialization in Artificial Intelligence and Machine Learning
CGPA: 9.03/10.00
Senior Secondary Education
2019 - 2021Devi Academy Senior Secondary School
Score: 92.2%
Secondary Education
2017 - 2019Narayana Olympiad CBSE School
Score: 91.6%
Research Publications
SURE: Session-Based Uninteresting Item Removal for Enhanced Recommendations
Sequential recommendation systems struggle with short user interaction sequences, often resulting in poor recommendation accuracy due to insufficient or uninteresting data. To address this, we propose SURE (Session-based Uninteresting Item Removal for Enhanced Recommendations), which combines association rule mining and backward prediction to enrich sequences and remove irrelevant items. Our method enhances recommendation quality by refining input data, achieving a 7.31% average gain in MRR and outperforming state-of-the-art techniques on multiple real-world datasets.
View PublicationAcademic & Open Source Projects
MedLensAI - AI-powered Patient-Centric Diagnostic Assistant
2025- •Developed a multi-modal clinical assistant using Google's MedGemma model.
- •Implemented image-based diagnostic suggestions and cross-referenced report summaries.
- •Built features for symptom-image correlation and follow-up investigation suggestions.
- •Created a Streamlit-based interface with image upload and doctor-style prompt box.
Smart Glasses for Visual Impairment
2024- •Developed a smart glass prototype with facial recognition and threat detection capabilities.
- •Implemented real-time object detection and navigation assistance.
- •Integrated voice feedback system for enhanced user experience.
AI-Powered Spam Detection System
2024- •Implemented an AI-powered spam detection system for instant messaging platforms.
- •Developed custom NLP models for message classification achieving 95% accuracy.
Intelligent Alarm System
2023- •Created a smart alarm system using calendar and sleep data for optimal wake-up times.
- •Implemented machine learning algorithms for sleep pattern analysis.
Contact Me
Let's build something amazing together
Interested in collaborating on AI/ML projects or discussing opportunities?
I'm always open to connecting with fellow developers and researchers!