Hello, I'm
PragadeeswaranK
AI/ML Engineer & Full‑Stack Developer I build reliable ML systems with clean, production-ready UX. I focus on taking ideas from notebook experiments into stable, shipped products that people actually use.
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About Me
Pragadeeswaran K
AI/ML Engineer
AI/ML engineer turning computer vision, RL, and agentic ideas into reliable products with clear UX. Passionate about bridging the gap between research and production-grade software.
Tiruvannamalai, IN
Research Interests
Computer Vision
Building intelligent systems that perceive and interpret visual data, from object detection to 3D scene reconstruction.
Deep Learning
Architecting deep neural networks to solve complex, high-dimensional problems in perception and reasoning.
Reinforcement Learning
Architecting deep neural networks to solve complex, high-dimensional problems in perception and reasoning.
Agentic AI
Designing autonomous systems capable of multi-step reasoning, tool use, and long-horizon planning.
Efficient/Accelerated ML
Optimizing model architecture and inference pipelines for edge devices and low-latency applications.
Applied Statistics
Applying statistical rigor to extract meaningful insights from noisy, real-world datasets.
NLP
Bridging human-computer interaction through advanced understanding and generation of natural language.
Generative Models
Exploring the frontiers of synthesis—creating high-fidelity images, text, and audio from latent representations.
Skills & Tools
Education
B.Tech, Artificial Intelligence
Higher Secondary (Class 12)
Secondary (Class 10)
Professional Experience
I balance low‑level engineering (firmware, power budgets, embedded systems) with applied AI/ML work and open‑source projects, focusing on reproducible experiments, clear documentation, and delivering features that are actually used.
Embedded Firmware Engineer
- Developing ESP32 firmware modules for communication logic, peripheral control, and device telemetry.
- Optimizing power budgets through task scheduling, sleep-state strategies, and hardware-level tuning.
- Improving signal acquisition, data handling, and system responsiveness for low-power connected devices.
- Driving power profiling efforts and contributing to core firmware documentation and architecture decisions.
AI/ML Student Researcher
- Designed and executed ML experiments; reproducible pipelines and ablations
- Statistical analysis with Python/SPSS: hypothesis tests, correlation, regression
- Baseline replication and literature review; presented findings and mentored peers
Technical Projects & Open Source
- Built Acadion Mobile; portfolio with Next.js 14 & Tailwind; CI/CD and testing workflows
- Contributed to open-source (Seat Finder, Acadion Mobile, Raspberry Pi Security Camera)
Internships & Virtual Programs
- AWS AI-ML Virtual Internship: SageMaker, deployment, MLOps
- AWS Data Engineering: pipelines, ETL, warehousing
- Android Dev: Material Design, architecture components
- ALTAIR Data Science Master: analytics, visualization, modeling
Projects
A curated set of AI/ML and full‑stack projects that show how I move from research ideas to reliable, shipped products—from GPU‑accelerated pipelines to production‑ready developer tools and education apps.
acadion mobile
- Fast, privacy‑conscious SRM Academia app with attendance insights, schedule, and grades.
EduSmartBot
- AI-native study studio built with Flask featuring timetable planning, vision-enhanced OCR, adaptive quiz generation, intelligent web research, and an Ollama-powered tutoring chatbot.
seat finder
- SRMIST Exam Seat Search: Parallel scraper with clean UI; export results as PNG/PDF; share via WhatsApp.
Self driving car
- 🚗🤖 AI Autonomous Driving Simulation using Deep Q-Learning Neural Networks with real-time PyTorch training, GPU acceleration, and interactive pygame visualization. Watch AI evolve from crashes to championship-level driving!
Credentials
NPTEL: Programming in Java
NPTEL: Database Management System
NPTEL: Computer Architecture
Oracle Cloud Infrastructure 2024 GenAI Certified Professional
Oracle Cloud Computing Foundations
AWS Academy: Machine Learning Foundations
AWS Academy: Data Engineering
AWS Academy: Cloud Foundations
Hackathon: CINTEL Digithon
Hackathon: Hackstreet 3.0
Hackathon: Webathon 2.0
Honors &Achievements
Top Decile CGPA — 9.33/10
Ranked in the top decile with a 9.33 CGPA while completing AI core labs, electives, and project work.
AICTE x AWS Virtual Internship (AI-ML + Data Eng)
Completed national virtual internship tracks focused on SageMaker workflows, MLOps, and analytics pipelines with weekly mentor reviews.
Multi-cloud & NPTEL Certification Streak
Finished 9 industry-backed credentials spanning Oracle Cloud, AWS cloud/data/ML, and NPTEL core CS courses to reinforce fundamentals.
Rapid Hackathon Builder
Led small teams to deliver polished MVPs for social impact, developer workflows, and education challenges within 24–36 hour hackathons.
Open-source Experience Kits
Documented and released reproducible guides for projects like Acadion Mobile, Seat Finder, and a Raspberry Pi security camera to help peers learn faster.
Leadership & Activities
Hackathon Pod Lead
CINTEL Digithon • Hackstreet 3.0 • Webathon 2.0
Formed cross-functional pods and shepherded AI + UX MVPs from idea to demo-ready builds under 24–36 hour hackathon timelines.
Open-source Experience Kits
GitHub Community
Package personal projects (Acadion Mobile, Seat Finder, Raspberry Pi Security Camera) into plug-and-play templates with walkthrough docs and Loom-style demos.
Community Programs & Labs
AICTE Eduskills • Google Android • Altair & more
Active in national upskilling cohorts and virtual internships, sharing recap notes, mini-projects, and curated resources so peers can keep pace with fast-moving ML trends.