Rene Marceline | Senior Software Engineer

Hey! I'm Rene Marceline.

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Results-driven senior software engineer with expertise in architecting scalable systems and leading technical initiatives to solve complex enterprise challenges.

About

I am a Senior Software Engineer with a Master's in Computer Engineering from Arizona State University. With a proven track record of architecting and implementing scalable solutions, I excel at leading technical initiatives and mentoring junior developers. I have extensive experience designing and optimizing distributed systems using Python, Django, Flask, and various database technologies. My 3+ years of professional experience includes leading development teams, architecting microservices, and implementing CI/CD pipelines for enterprise applications. I specialize in designing high-performance, fault-tolerant systems that solve complex business challenges and scale to support millions of users. My technical leadership has consistently delivered solutions that balance innovation, performance, and maintainability.

Languages: Python, C++, C, Java, Javascript, D3, React, HTML/CSS, R
Databases: PostgreSQL, MySQL, Redshift, MongoDB, DynamoDB
Cloud Technologies: AWS (EC2, S3, EMR, IAM, Lambda, Glue, Athena), Azure (ADF, Databricks), Snowflake, GCP
Libraries: Pandas, Pytorch, Tensorflow, Keras, NLTK, NumPy, OpenCV, Scikit-learn, Matplotlib, Seaborn, CUDA, PySpark
Tools & Frameworks: Docker, Kubernetes, Git, Kafka, Spark, Tableau, Power BI, dbt, Airflow, Flask, GitHub, Linux, Django
Concepts: Software Optimization, Code Review, Automation Tools, Distributed Systems, Software Design Patterns, Agile Methodologies, Data Modeling, Data Analysis, ETL/ELT Pipelines, Data Visualization, Data Architecture, CI/CD

Seeking a senior engineering role where I can leverage my expertise in system architecture, technical leadership, and performance optimization to drive innovation and deliver scalable solutions for complex enterprise challenges.

Experience

Zhiffy

Senior Software Engineer

Architected and led the development of a scalable e-commerce platform backend using Flask, MongoDB, and AWS, implementing microservices architecture to support high-volume transactions.
Designed and implemented a comprehensive API gateway serving three distinct web applications (customer portal, vendor management system, and admin dashboard); engineered 50+ RESTful endpoints with robust authentication, caching, and rate limiting.
Optimized system performance by 20% through strategic database schema redesign, query optimization, and implementing Redis caching layer for frequently accessed data.
Spearheaded the development of an automated bulk product ingestion system with validation and error handling, reducing vendor onboarding time by 75% and eliminating manual data entry errors.
Technologies: Python, Flask, MongoDB, AWS (EC2, S3, CloudFront), Redis, Docker, CI/CD

July 2020 - Nov 2020 | Hyderabad, India

Meditab

Lead Software Engineer

Led the architecture and implementation of a high-performance optimization system using advanced tree-based algorithms, resulting in a 25% reduction in automation cycle-time and enabling parallel processing of pharmaceutical dispensing operations.
Designed and implemented a scalable multi-robot coordination framework that extended the system's capabilities to handle complex distributed operations across multiple robotic systems, significantly increasing throughput and operational efficiency.
Architected and led the development of an enterprise-grade computer vision platform using Flask and OpenCV for real-time human tracking in multi-camera environments, implementing sophisticated spatial mapping algorithms for precise location tracking.
Optimized the video analytics pipeline by integrating custom-trained YOLOv3 and DeepSORT algorithms, achieving a 20% performance improvement while maintaining high accuracy in challenging visual conditions.
Technologies: Python, Flask, OpenCV, Keras, TensorFlow, PyTorch, Docker, Kubernetes, CI/CD

Dec 2018 - July 2019 | Ahmedabad, India

Mtag Innovations

Software Engineer

Designed and implemented a scalable cloud-based monitoring platform using Flask and JavaScript for real-time tracking of pharmaceutical storage conditions, incorporating advanced data visualization dashboards for trend analysis and predictive degradation modeling.
Engineered a robust notification system with configurable thresholds and multi-channel alerts (email, SMS, in-app), implementing a priority-based escalation workflow that reduced critical response time by 40%.
Technologies: Python, Flask, JavaScript, AWS, RESTful APIs, Redis, MongoDB

July 2018 - Nov 2018 | Ahmedabad, India

CIGNEX Datamatics

Technical Consultant

Led the design and architecture of an enterprise library management system, conducting comprehensive requirements analysis and creating detailed system specifications including data flow diagrams and normalized entity-relationship models.
Architected and implemented a high-accuracy financial document classification system using advanced NLP techniques and ensemble machine learning models, achieving 96% classification accuracy on complex financial documents.
Technologies: Python, Scikit-learn, NLTK, TF-IDF, Word Embeddings, SQL, Git

June 2017 - July 2017 | Ahmedabad, India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.