SYSTEM ONLINE // NODE_ID: TLY-KL-IN-0042 // STATUS: ACTIVE
MRIDUL CHUNDARAN
_
Crafting digital experiences from Kerala, India
0
// year_experience
0
// projects_built
0
// certs_earned
0
// ml_accuracy_%
SCROLL_DOWN
SYS_READOUT
node TLY-KL-IN-0042
user mridul_chundaran
role swe_backend
stack py.flask.fb
ml_acc 0.88
uptime 99.9%
status ACTIVE
encrypt AES-256-CBC
proto TLS_1.3
auth VERIFIED
> 01001101 01010010
> 01001001 01000100
> 01010101 01001100
> PAYLOAD_READY
> CONNECTION_SECURE
> _
> 01001001 01000100
> 01010101 01001100
> PAYLOAD_READY
> CONNECTION_SECURE
> _
system.profile
[ whoami ]
I'm Mridul Chundaran, a Python Backend Developer and Automation & ML Engineer based in Thalassery, Kerala, India. I recently completed a 1-year internship at Mexilet Technologies where I shipped production automation workflows, built scalable Flask backends, and deployed ML models used in real business decisions.
My core is Python — from Flask REST APIs and Firebase integrations to Scikit-Learn regression models. I'm equally comfortable automating browser workflows with Selenium, testing APIs with Postman, or fine-tuning a Logistic Regression model to hit 88% accuracy in production.
"The Matrix is everywhere. It's in every line of code, every API call, every deploy. You take the blue pill — you stay in tutorial hell. You take the red pill — you ship production code at 3AM and see how deep the stack trace goes."
B.Tech in Computer Science from College of Engineering Chengannur (GPA: 7.68). Certified by HackerRank, IBM, NVIDIA and LinkedIn. Currently open to full-time Software Developer and SWE roles.
matrix@tly-kl-in:~$ cat profile.json
{ "name": "Mridul Chundaran", "location": "Thalassery, Kerala, India", "role": "Python Backend Developer", "stack": ["Python","Flask","Firebase","Selenium"], "ml": ["Scikit-Learn","Pandas","NumPy","LLM"], "cloud": "GCP", "status": "OPEN_TO_SWE_ROLES", "uptime": "99.9%" } matrix@tly-kl-in:~$
{ "name": "Mridul Chundaran", "location": "Thalassery, Kerala, India", "role": "Python Backend Developer", "stack": ["Python","Flask","Firebase","Selenium"], "ml": ["Scikit-Learn","Pandas","NumPy","LLM"], "cloud": "GCP", "status": "OPEN_TO_SWE_ROLES", "uptime": "99.9%" } matrix@tly-kl-in:~$
system.capabilities
[ ls -la skills/ ]
Programming
Backend & DB
AI / ML / Data
Cloud & Infra
Tools & Systems
Soft Skills
system.history
[ ./experience ]
Software Full Stack Developer
Mexilet Technologies — Thalassery, Kerala
OCT 2024 — SEP 2025 · 1 YEAR
Shipped production automation, scalable backends, and ML models across 6+ Agile sprints — consistently delivering clean, documented, high-impact code.
- Architected Selenium automation pipelines for OLX, Instagram, Facebook & IndiaMART — saved 40+ hrs/month
- Built and maintained Python + Firebase backend serving real users with 99.9% uptime
- Designed and tested 15+ RESTful API endpoints via Postman, reducing production bugs by 20%
- Wrote clean, modular, production-grade backend services with full documentation and code reviews
- Developed an end-to-end WhatsApp Business chatbot automating customer follow-ups
- Trained and deployed a Logistic Regression ML model predicting customer conversions at 88% accuracy
- Collaborated with senior engineers to optimize data pipelines, reducing latency by 200ms
- Implemented Flask web dashboards with real-time data visualization for internal analytics
- Managed Firebase Realtime DB & Firestore schemas for scalable data storage and live sync
- Delivered across 6+ Agile sprints with consistent velocity and zero missed deadlines
PythonFlaskFirebaseSeleniumPostmanScikit-LearnREST APIsAgile/ScrumWhatsApp APIPandasGitLinux
build.artifacts
[ ./projects ]
// PROJECT_01
Smart Lead AI
End-to-end lead conversion predictor. Generated a synthetic dataset of 1,000 leads and trained a Logistic Regression model achieving 91% accuracy on unseen data. Deployed via Flask web interface with real-time probability scores for marketing insights.
PythonScikit-LearnFlaskLogistic RegressionPandas
// PROJECT_02
Emotion Detection AI
AI-based web application to classify and score emotions from text input. Integrated IBM Watson AI Libraries for core emotion analysis and served results via a RESTful API. Followed full development lifecycle with Python modules and unit tests.
PythonFlaskIBM Watson AIREST APIUnit Testing
// PROJECT_03
TrackEx — Finance & Stock Predictor
Personal finance tracker with tax calculation and interactive dashboards. Implemented stock market prediction using Bi-LSTM, XGBoost, and CNN models achieving 92% accuracy. Integrated Python APIs and Firebase for secure real-time data flow.
PythonBi-LSTMXGBoostCNNFirebaseREST APIs
verified.credentials
[ cat certs.log ]
academic.records
[ ./education ]
B.Tech — Computer Science (Computer Engineering)
College of Engineering Chengannur
OCT 2021 — MAY 2025
GPA: 7.68 / 10
Relevant Coursework: Operating Systems, DBMS, Computer Networks, Machine Learning
Relevant Coursework: Operating Systems, DBMS, Computer Networks, Machine Learning
High School Diploma — Computer Science Stream
Vijayagiri Public School (CBSE) — Thrissur
JUN 2020 — JUN 2021
GPA: 9.2 / 10
Stream: Computer Science, Physics, Mathematics
Stream: Computer Science, Physics, Mathematics
matrix@tly-kl-in:~$ cat achievements.log
[CERT] HackerRank Software Engineer Certificate — Dec 2025 [CERT] NVIDIA AI Infrastructure & Operations — Nov 2025 [CERT] IBM — Developing AI Apps with Flask & Python — Nov 2025 [RESULT] 88% ML model accuracy deployed in production @ Mexilet [RESULT] 40+ hours/month saved via Selenium automation pipelines [RESULT] 99.9% backend uptime maintained over 1-year internship matrix@tly-kl-in:~$
[CERT] HackerRank Software Engineer Certificate — Dec 2025 [CERT] NVIDIA AI Infrastructure & Operations — Nov 2025 [CERT] IBM — Developing AI Apps with Flask & Python — Nov 2025 [RESULT] 88% ML model accuracy deployed in production @ Mexilet [RESULT] 40+ hours/month saved via Selenium automation pipelines [RESULT] 99.9% backend uptime maintained over 1-year internship matrix@tly-kl-in:~$
transmission.terminal
[ ./contact ]
Transmission channels are open. Whether you're looking to collaborate, recruit, or just talk code — initiate contact. Response guaranteed within 24 hours.
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