Triambakk R B
Triambakk R B
Machine Learning Engineer

Triambakk R B

Building innovative AI/ML solutions with robust backend development and data processing expertise.

Get in touch
4+Projects
8+Skills
01.

About

I'm Triambakk R B, a passionate Machine Learning Engineer skilled in Python-based development and AI applications. I thrive on creating production-ready systems that leverage advanced technologies to solve real-world problems.

02.

Selected work

B

B2B SaaS Integration EngineCheck out

Python, FastAPI, PostgreSQL, SQLAlchemy, Docker
  • Built a backend for automated customer onboarding that ingests and normalizes unstructured JSON payloads from third-party SaaS platforms through REST APIs.
  • Designed a multi-stage ETL pipeline with Pydantic schema validation and relational persistence in PostgreSQL using SQLAlchemy ORM and transactions.
  • Developed an automated schema-mapping engine combining fuzzy matching, rule-based heuristics, and Gemini 2.0 Flash to map incoming fields to canonical database fields.
  • Containerized with Docker, deployed on Render, and documented APIs with OpenAPI/Swagger and Postman test suites.
PythonFastAPIPostgreSQLSQLAlchemyDocker
Live Demo GitHub
D

DIAGNO – Diagnostic Booking PlatformCheck out

Django, DRF, PostgreSQL, React
  • Constructed a full-stack diagnostic appointment platform using Django REST Framework, PostgreSQL, and React with protected routes and a multi-step booking workflow.
  • Modelled diagnostic centers, scan types, and appointments with relational constraints; implemented double-booking prevention using serializer validation, transactions, and a PostgreSQL partial unique constraint.
  • Implemented JWT authentication, custom DRF permissions, ownership-based querysets, and appointment lifecycle management for patients and staff.
  • Wrote pytest tests covering authentication, permissions, validation, ownership, double-booking, and cancel-and-rebook flows.
DjangoDRFPostgreSQLReact
GitHub
S

Smart Voting SystemCheck out

Python, OpenCV, Face Recognition
  • Developed an electronic voting application utilizing real-time facial recognition for voter identity verification, employing OpenCV-based face embeddings and liveness checks.
  • Implemented blink and facial-texture based anti-spoofing checks and backend state persistence to enforce one-vote-per-voter integrity.
PythonOpenCVFace Recognition
GitHub
C

CNN-Based Eye Strain Classification

Python, TensorFlow, OpenCV, MediaPipe
  • Constructed a TensorFlow/Keras CNN to classify digital eye strain into Low, Moderate, and High severity levels using image preprocessing and augmentation.
  • Utilized MediaPipe landmarks to calculate EAR/PERCLOS metrics and evaluated the model using precision, recall, F1-score, and confusion matrices for webcam inference.
PythonTensorFlowOpenCVMediaPipe
03.

Skills & tools

LanguagesAI/MLFrameworks/LibrariesDatabasesTools & PlatformsCloud & DevOpsSecurity & SIEMOther Technical Skills
04.

Education

SRM IST - Kattankulathur

B.Tech in Computer Science and Engineering
2023–2027 · CGPA: 8.98/10.00

Hindustan International School Padur

Class XII - CBSE
2021–2023 · 82.4%

Hindustan International School Padur

Class X - CBSE
2019–2021 · 80.2%
05.

Certifications

AWS Certified Developer – Associate

2026

NPTEL: Machine Learning

NPTEL · 2025

NPTEL: Database Management Systems

NPTEL · 2025
06.

Get in touch

Have a role or a project in mind? I'd love to hear from you.

rb.triambakk@gmail.com 9361241899

Awards & Honors

Amazon ML Hackathon 2025: Ranked 131st among 23,000+ teams with a SMAPE score of 44.3.
Made with TailorCV — build yours free