Available for AI/ML & Python Engineering Roles

Designing Intelligence.
Architecting the Future.

I am an M.Tech researcher and dedicated developer specializing in Deep Learning, Natural Language Processing (NLP), and advanced Data Science. By bridging the critical gap between complex academic algorithms and scalable, production-ready machine learning pipelines, I turn raw data into intelligent, automated solutions.

rezinarashida89@gmail.com Explore My Research

Academic rigor meets industry application.

With over 3 years of industry experience as a Python and AI Developer at TechnoByte, coupled with advanced M.Tech research at Parul University, I possess a unique blend of theoretical depth and practical engineering. My workflow encompasses the entire data lifecycle—from robust SQL database architecture and exploratory data analysis to training high-accuracy neural networks and deploying them via live APIs.

I am passionate about human-computer interaction, solving complex classification challenges, and ensuring models are not just mathematically sound, but functionally viable for real-world end-users.

Python TensorFlow Pandas & NumPy Scikit-learn

Deep Learning Core

Specializing in Bidirectional LSTM, RNN, CNN architectures, computer vision (OpenCV), and advanced NLP tokenization for intent classification.

My Philosophy

AI should be accessible, scalable, and measurable. I prioritize clean code logic, hyperparameter optimization, and strict cross-validation to ensure models perform flawlessly under varied, real-world data distributions.

By heavily relying on BI tools like Power BI, I ensure predictive metrics translate directly to business KPIs.

Years Experience

93.2%

BERTHCI Model Accuracy

Currently Pursuing • Parul University

M.Tech (AI & Cloud Technologies)

Supervisor: Prof. Jaiprakash Narain Dwivedi

Research & Publications

My academic efforts focus on pushing the boundaries of Natural Language Processing and intelligent human-computer interaction (HCI). By publishing peer-reviewed methodologies, I aim to contribute actionable intelligence frameworks to the broader AI community.

PICET-2026 Published

BERTHCI: Bidirectional LSTM for HCI Intent Classification

Methodology & Execution:

Architected and evaluated a highly accurate neural network handling a massive dataset of 6,500 samples across 10 distinct human-computer interaction intent classes. I personally executed the complete data science pipeline, which included advanced text preprocessing, strict tokenization, hidden layer tuning, and extensive k-fold cross-validation.

93.2%

Accuracy

0.931

F1 Score

0.987

ROC-AUC

Springer LNNS Series Accepted Publication

BERTHCI-Predictor: Real-Time Deep Learning Inference Engine

Impact & Architecture:

Extended the baseline BERTHCI model into an operational software environment by building a real-time inference module. Engineered an end-to-end processing pipeline that seamlessly maps raw, unstructured text inputs directly to live predictions via an integrated REST API. This practical implementation secured acceptance into an internationally indexed, peer-reviewed AI/ML publication series.

Live Inference API Deployment Model Serving

Professional Experience

January 2022 - Present

AI/ML & Python Developer

TechnoByte • Rajkot, Gujarat

Data Pipeline Engineering: Built scalable Python-based data reporting pipelines utilizing Pandas and openpyxl. Designed and maintained MySQL databases, deploying complex subqueries, joins, and window functions to support robust client product management systems.

Business Intelligence & Analytics: Developed dynamic Power BI dashboards integrating mixed SQL and Excel data sources. Utilized advanced DAX measures and Power Query transformations to create deep drill-through visuals, enabling stakeholders to track business KPIs in real-time.

Leadership & Optimization: Mentored junior developers, cultivating an environment focused on analytical thinking and strict code quality. Designed and applied statistical A/B testing methodologies to mathematically measure and drastically optimize digital campaign performance metrics.

Graduated 2024

B.Tech - Information Technology

RK University, Rajkot CGPA: 7.67

Graduated 2021

Diploma - Information Technology

L.E. College CGPA: 8.01

Professional Certifications

Cloud Computing & Securing Applications
Advanced C# & ASP.NET Core MVC
Java Programming & SE 8