Reshma KR

Full Stack Engineer

Chennai, Tamil Nadu, India5 yrs experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in full-stack development with cloud deployment experience.
  • Strong background in machine learning and data science projects.
  • Proven leadership in Agile environments and mentoring.
Stackforce AI infers this person is a Full Stack Developer with expertise in Data Science and Machine Learning.

Contact

Skills

Core Skills

Full-stack DevelopmentAwsData ScienceMachine LearningPredictive Modeling

Other Skills

AJAXAJAX FrameworksAWS Cloud ServicesAgileAlgorithmsAnalytical SkillsApache SparkArtificial Intelligence (AI)Big DataBootstrap (Framework)CI/CDCSSCodeIgniterComputer VisionConvolutional Neural Networks (CNN)

About

I’m a Full Stack Developer passionate about building intelligent, scalable, and high-performing web applications that drive real impact. With extensive experience across the entire software development lifecycle — from requirement gathering and system design to UAT, deployment, and post-launch optimization — I take pride in delivering end-to-end solutions aligned with both technical excellence and business goals. My expertise spans PHP (Laravel, CodeIgniter) and Python frameworks (Django, Flask, FastAPI) for backend development, along with JavaScript (Vue.js, React.js) for creating dynamic, user-centric frontends. I’m proficient in managing and optimizing databases including MySQL, PostgreSQL, MongoDB, SQLite, Oracle, and MSSQL, ensuring performance and reliability at scale. I have strong experience with AWS Cloud Services, handling server setup, deployments, CI/CD pipelines, S3, EC2, and Lambda — enabling secure and scalable cloud-based solutions. I’ve led development initiatives, code reviews, UAT processes, deployments, and production releases, while working closely with clients to clarify requirements, deliver demos, and ensure satisfaction. I thrive in Agile environments, enjoy mentoring team members, and actively contribute to a culture of collaboration and continuous improvement. Beyond web development, I’m deeply passionate about Artificial Intelligence and Machine Learning, exploring ways to integrate AI/ML into real-world applications for automation, analytics, and smarter decision-making. I’m also highly active in problem-solving and data structures, regularly practicing coding challenges to strengthen algorithmic thinking and optimize solution design. 🔗 LeetCode Profile: https://leetcode.com/raeshmakr At my core, I’m a problem-solver — translating complex challenges into clean, efficient, and maintainable code. I’m motivated by opportunities that allow me to grow, innovate, and contribute to meaningful digital transformation. I’m currently open to opportunities where I can leverage my full-stack expertise, cloud knowledge, leadership experience, and AI/ML enthusiasm to help organizations build next-generation digital solutions. 📩 Connect with me at hello@dlearningai.com or here on LinkedIn to collaborate or discuss exciting opportunities.

Experience

5 yrs
Total Experience
2 yrs 6 mos
Average Tenure
--
Current Experience

Skyislimit technologies pvt. ltd.

Full Stack Developer

Jul 2021Jan 2026 · 4 yrs 6 mos

PHPLaravelCodeIgniterJavaScriptVue.jsReact.js+11

Spinnaker analytics

Data Scientist

Sep 2019Mar 2020 · 6 mos · Boston, Massachusetts, United States

  • Completed a 6-month on-job training as a Data Scientist at Spinnaker Analytics LLC, where I worked on multiple real-world data science and machine learning projects. My focus was on building predictive models, performing exploratory data analysis, designing statistical workflows, and generating actionable insights for industry use cases.
  • Key Projects:
  • Classifying Shooting Incident Fatality – Built a model to classify shooting incidents as fatal or non-fatal, supporting data-driven policing strategies.
  • Predicting Used Car Prices – Developed ML models to estimate used car prices, helping improve pricing recommendations & market insights.
  • Predicting Company Bankruptcies – Designed risk-prediction models for financial portfolio optimization and lending decision support.
  • Weather Summary Classification – Built a classification model to analyze meteorological data and improve weather forecasting accuracy.
  • Salary Range Prediction – Developed predictive models to estimate salary ranges for job postings, enabling smarter talent management.
  • Product Cluster Analysis – Performed clustering using sales data to identify product patterns, trends, and inventory optimization opportunities.
Predictive ModelingData AnalysisMachine LearningStatistical WorkflowsExploratory Data AnalysisData Science

Education

Indian Institute of Technology, Madras

Bachelor of Science - BS — Data Science and Applications

May 2024Present

Mahatma Gandhi University (MGU), Kottayam

Bachelor's degree — History

Jan 2022Jan 2025

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