NamanTyagi
MS CS at NYU Tandon · IEEE Published · 6+ Internships.
Building at the intersection of AI, cloud, and full-stack.
Brooklyn
MS CS · NYU Tandon
01 / About
About Me
I’m an AI/ML engineer and MS CS student at NYU Tandon, passionate about building intelligent systems that solve real-world problems. With hands-on experience across LLMs, cloud infrastructure, big data pipelines, and full-stack development, I bring ideas from research to production. Published author with Cambridge Scholars Publishing and IEEE, with 6+ internships spanning AI, cloud, and enterprise software.
10+
Projects Built
6+
Internships
2
Publications
6+
Certifications
Academic Journey
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Education
Master of Science — Computer Science
NYU Tandon School of Engineering
Aug 2024 – Present
Brooklyn, NY
Relevant Coursework
B.Tech — Computer Science & Engineering (Hons. in AI & ML)
Amity University Noida
First Division with Distinction · Exchange programs at Birkbeck University London & Adelphi University NY
Jul 2020 – Jun 2024
Noida, India
Relevant Coursework
Vertically Integrated Project · NYU FAMS Lab
TAJ Dataset — Endoscopic Laser Ablation Analysis
Fall 2025 – Present
Built a computer vision pipeline using YOLOv5 and U-Net to detect surgical regions and segment laser-affected tissue in endoscopic imagery. Generated tissue damage heatmaps to visualize ablation intensity and spatial spread, integrated with 3D Slicer for surgical decision support.
Certifications
Security
Google Cybersecurity Program Certificate
Cloud
Big Data & Machine Learning Fundamentals
Google Cloud / Coursera
AWS Cloud Completion Badge
Amazon Web Services
GCP Cloud Completion Badge
Google Cloud
Azure Cloud Completion Badge
Microsoft Azure
Platform
Salesforce Administrator & Developer
Salesforce
02 / Skills
Technical Skills
AI / ML
20Cloud
16Big Data
12Languages
7Tools & Platforms
15Blockchain
8AI Governance
503 / Experience
Work Experience
Software Engineer — Faculty Operations Platform
NYU — Office of Faculty Affairs
Jan 2026 – Present
New York, NY
- Leading system design for a cloud-integrated digital platform compatible with NYU Box, AWS S3, and Azure Blob Storage, serving 500+ faculty with automated records management, workflow orchestration, and an AI-powered FAQ chatbot.
- Deploying workflow automation pipelines using cloud-based orchestration (AWS, Azure Logic Apps) to digitize manual form processes with routing, compliance checks, and approval chain tracking.
- Architecting cloud storage strategies with metadata tagging and classification systems to convert unstructured legacy documents into searchable, analytics-ready datasets.
- Coordinating with IT and platform teams to ensure system integration, compliance, and security standards across NYU's existing infrastructure.
AI & Power BI Intern
Mast-Jägermeister US, Inc.
Jun 2025 – Aug 2025
White Plains, NY
- Designed and deployed a fully offline RAG-based AI chatbot using LangChain, vector embeddings, and semantic retrieval workflows, enabling secure knowledge access across 1,000+ enterprise documents for 50+ field team members.
- Built automated document ingestion and semantic indexing pipelines, reducing information retrieval time by ~70% compared to manual search.
- Enhanced NLP query interpretation in Power BI Q&A using custom semantic models; integrated Azure AI and Python NLP frameworks into production.
AI Research Intern
University of Essex
Sep 2023 – Aug 2024
Remote
- Conducted NLP and sentiment analysis research for early BDD detection, achieving 12% F1-score improvement through transformer fine-tuning on ~10K annotated clinical text samples.
- Automated end-to-end text preprocessing, feature extraction, and model evaluation workflows, reducing experiment iteration time by ~40%.
- Published findings in IEEE Xplore (2024) via CNN-based sign language recognition project.
Global Technical Support Engineer
Ciena
Jan 2024 – Jun 2024
Gurugram, India
- Performed data-driven diagnostics on optical networks for 15+ global telecom clients (99.5% uptime SLAs); authored automation scripts reducing case resolution time by ~25%.
- Managed 50+ monthly escalations with cross-functional coordination across global support teams.
Salesforce Developer & Administrator
Internship
May 2023 – Dec 2023
Remote
- Automated CRM workflows with Flow Builder, reducing manual workload by 40% across 50+ users; built Lightning components, backend validation rules, and analytics dashboards.
- Developed Apex triggers to extend platform functionality and managed permission sets and data integrity.
Frontend Developer
Ulavi Technologies PTE. Ltd
Jan 2023 – Apr 2023
Singapore (Remote)
- Designed responsive frontends for travel platforms, improving user experience and performance by 15%.
- Collaborated in iterative feature rollout using Agile and version control best practices.
04 / Projects
Featured Projects
Airspace Congestion Monitoring System
475K+ flight recordsReal-time big data pipeline processing 475K+ flight records using Apache Spark and Kafka. Visualizes airspace congestion patterns with live streaming analytics and alerting.
RAGBase: Enterprise Document Q&A System
1,000+ docs · sub-2s retrievalOpen-source offline RAG chatbot with semantic document search using FAISS vector indexing and LangChain retrieval chains, supporting PDF/DOCX ingestion across 1,000+ documents with sub-2-second latency. Modular pipeline with configurable embedding models, chunking strategies, and reranking.
Sign Language Recognition
IEEE Published 2024CNN-based gesture-to-text translation system improving accessibility for the hearing-impaired. Enhanced spatial feature learning with skeleton-plotted image augmentation. Published in IEEE Xplore 2024.
MindMend
LLM-driven conversational therapy agent using GPT-4, NLP, and sentiment analysis. Analyzes emotional state during live interactions and implements sentiment scoring + trend tracking.
ChainGuard
LLM-based auditing tool detecting smart contract vulnerabilities (reentrancy, overflow, access control) with 85%+ accuracy across 100+ test contracts. Fine-tuned transformers for structured audit report generation.
Photo Search & Recognition
Automated face/object detection pipeline using AWS Rekognition with intelligent metadata tagging. Enables semantic queries for image search via REST APIs and event-driven inference.
SmartScholar
LLM-powered research paper summarizer and Q&A system. Ingests academic PDFs, generates structured summaries, and enables natural language querying over paper content via RAG.
Smart Door Lock System
Serverless IoT security system built on AWS. Uses Lambda, DynamoDB, API Gateway, and S3 for a fully managed, scalable smart lock with remote access control.
DecentraStore
Cloud + blockchain hybrid file storage and verification system. Files stored on cloud with cryptographic proofs anchored on Ethereum for tamper-proof verification.
DiningBot on AWS
Serverless dining recommendation chatbot built on AWS. Uses Lex for natural language understanding, Lambda for business logic, and DynamoDB to serve personalized restaurant suggestions.
Student Performance Visualization
Data visualization dashboard analyzing student performance metrics. Uncovers trends across grades, subjects, and demographics using interactive charts and statistical insights.
06 / Publications
Publications
Cambridge Scholars Publishing — Next Generation Healthcare: Deep Learning and Blockchain for Precision Clinical Decision-Making
Decentralized Smart Cities: Enhancing Urban Living Through IoT, Metaverse, and Blockchain Integration
Naman Tyagi (NYU) · Anushka Singh (Johns Hopkins) · Fahad Eqbal Hashmi · Dolly Sharma (Amity)
Authored chapter investigating the collaborative integration of Blockchain, the Metaverse, and IoT toward decentralized smart urban ecosystems. Explores resource optimization, citizen experience, security, and sustainability — with focus on data privacy via blockchain and real-time urban service management via IoT.
Impact of Colour Image and Skeleton Plotting on Sign Language Recognition Using Convolutional Neural Networks (CNN)
IEEE Xplore — 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
Anushka Singh · Fahad Eqbal Hashmi · Naman Tyagi · Anant Kumar Jayswal
Introduced a CNN-based model for American Sign Language recognition achieving ~99% accuracy using color + skeleton-mapped image datasets. Demonstrated significant impact of preprocessing strategy on model accuracy across varied backgrounds.
DOI: 10.1109/Confluence60223.2024.10463239
View Publication07 / Side Quests
Side Quests
Because life isn't just about the main storyline.
F1 Pilgrim
Never misses a race weekend. Can predict pit stop strategy before the wall tells the driver.
Court Regular
Badminton and tennis. Serves well, returns better, trash talks respectfully.
Iron Forger
Consistent gym sessions. Lifts heavy, codes heavier. Never skips — well, almost never.
Console + Chess Strategist
PS/Xbox for action, Chess for the ego. Both require patience. Both test it.
World Wanderer
4 countries explored, 190+ on the list. Every trip comes with a tech meetup recommendation.
Gadget Oracle
Reads every tech blog. Knows the specs before the launch event. Has opinions about bezels.
F1 Races Watched
Every. Single. One.
Countries Explored
4 (and counting)
Gym Sessions Skipped
Classified
Chess Matches Lost
Learning experiences
Tech Blogs Read
∞ / week
Chai Consumed
Yes.
08 / Contact
Get In Touch
I'm currently open to full-time roles, research collaborations, and interesting projects in AI/ML, cloud, and full-stack engineering. If you have an opportunity or just want to chat, my inbox is always open.