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Kevan M.

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Full-Stack Software Engineer | React, Next.js, Spring Boot & AWS | Built Scalable Apps & Reduced Cloud Costs
Dallas, Texas, United States
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Jobs verified_user 0% verified
  • B
    Full Stack Developer
    Benda Infotech
    Jul 2025 - Current (1 year 1 month)
    Develop and maintain responsive web applications using React, Next.js, Angular, and TypeScript, improving front-end performance and usability. – Design reusable UI components with HTML, Tailwind CSS, and Material-UI, enhancing user engagement and maintainability by 25%. – Integrate and optimize RESTful and GraphQL APIs, and manage relational databases with caching using Redis, improving data retrieval by 30%. – Implement automated testing and containerized deployments with Docker, Docker Compose, Jenkins, and Git, reducing defects and manual errors by 50–90%. – Collaborate with cross-functional teams to deliver web features aligned with business requirements, monitor performance, troubleshoot issues, and optimize front-end and back-end proc
  • Community Dreams Foundation
    Software Engineer
    Community Dreams Foundation
    Aug 2024 - Jun 2025 (11 months)
    - Engineered responsive React.js community platform with Bootstrap integration, driving 25% higher project engagement across 500 users. - Architected Java Spring Boot APIs and optimized PostgreSQL queries, achieving 18% faster database performance for nonprofit systems. - Integrated Firebase authentication with AWS cloud infrastructure, ensuring 99.9% platform reliability for volunteer management portal. - Streamlined program documentation and workflow processes, resulting in 40% improved stakeholder communication efficiency.
  • Knack NY
    Software Engineer
    Knack NY
    Jun 2023 - Current (3 years 2 months)
    • Built scalable React and TypeScript web applications that improved workflow completion time by 35% and enhanced overall user experience. • Designed secure authentication and authorization systems using OAuth, JWT, and Role-Based Access Control (RBAC). • Optimized PostgreSQL schemas, indexing strategies, and query performance for high-volume transactional workloads. • Automated cloud infrastructure provisioning and deployment workflows using Terraform, Docker, Kubernetes, and AWS services. • Developed AI-assisted workflow orchestration using LangGraph and OpenAI APIs to automate multi-step business processes. • Implemented centralized logging, monitoring, and observability to reduce production incident resolution time by 50%. • Integrated
  • QPharma Inc
    Software Engineer
    QPharma Inc
    Jun 2023 - May 2024 (1 year)
    • Developed responsive web applications using React, Next.js, Angular, and TypeScript, with a strong focus on performance and user experience. • Built reusable UI components with Tailwind CSS and Material UI, increasing engagement and improving code maintainability by 25%. • Optimized REST and GraphQL APIs with Redis caching, improving data retrieval speeds by 30%. • Led containerization and test automation initiatives using Docker, Jenkins, and Git, reducing defects and manual errors by up to 90%. • Designed scalable backend services and API integrations to support seamless communication across systems. • Improved application performance through lazy loading, code splitting, and query optimization, reducing page load times by 40%. • Implem
  • The University of Texas at Dallas
    Computer Science Grader
    The University of Texas at Dallas
    Sep 2022 - May 2024 (1 year 9 months)
    - Mentored over 100 students in C and Java programming through weekly tutoring sessions focused on debugging techniques, algorithms, and data structures. - Students demonstrated a 15% increase in exam scores and an improved understanding of core programming concepts.
  • Bhaskaracharya Institute For Space Applications and GeoInformatics
    Machine Learning Engineer
    Bhaskaracharya Institute For Space Applications and GeoInformatics
    Jun 2021 - Jul 2021 (2 months)
    - Enhanced algorithm performance with machine learning techniques, boosting accuracy by 46% using NumPy, Matplotlib & PyTorch. - Optimized data management strategies & integrated Flask for seamless API deployment, improving system efficiency by 40% & scalability. - Collaborated with management to refine machine learning objectives, cutting project completion time by 50% & aligning goals with business priorities. - Refined data management strategies & integrated Flask for seamless API deployment, boosting system efficiency by 30% & scalability.
  • vDoIt Technologies
    Full Stack Developer
    vDoIt Technologies
    May 2021 - Apr 2022 (1 year)
    • Developed AI-powered cloud cost forecasting solutions using Python and scikit-learn models integrated with React dashboards. • Built anomaly detection and cloud cost allocation systems that prevented more than $50K monthly cloud overspend. • Improved forecasting accuracy by 25% through predictive analytics and machine learning models. • Designed scalable REST APIs and backend microservices supporting cloud analytics and automation workflows. • Migrated monolithic applications to cloud-native architectures, reducing operational overhead by 35%. • Optimized PostgreSQL query performance and indexing strategies for large-scale cloud billing datasets. • Automated cloud monitoring and reporting using Python and scheduled workflows. • Modernized
  • A
    Junior Software Engineer
    ABC INFOMEDIA PRIVATE LIMITED
    May 2021 - Aug 2021 (4 months)
    - Led full-stack development for a team of five, advancing app features with React.js, Node.js & AWS. - Integrated JWT & OAuth for email, Google & Facebook login, expanding user base to 400K+. - Optimized backend with Node.js & AWS, reducing load time by 55% & boosting system efficiency. - Enhanced CI/CD, API testing (Postman) & GitHub workflows, accelerating Agile deployments by 40% & reducing bugs by 30%.
Education verified_user 0% verified
  • The University of Texas at Dallas
    Master's degree, Computer Science
    The University of Texas at Dallas
    Studying MSCS at the University of Texas at Dallas has been an enriching experience. The program provided a comprehensive education in various programming languages, including Python, Java, C++, C, AWS, TypeScript, JavaScript, NoSQL (Cassandra, MongoDB), and ReactJS. It also offered valuable exposure to diverse fields such as software engineering, data analysis, and big data management. This well-rounded curriculum has equipped me with a versatile skill set, enabling me to excel in different roles and meet the evolving demands of the technology industry.
  • Pandit Deendayal Energy University
    Bachelor of Technology - BTech, Computer Engineering
    Pandit Deendayal Energy University
Projects (professional or personal) verified_user 0% verified
  • F
    FlowForge - Workflow Orchestration Platform
    Jun 2026 - Jul 2026 (2 months)
    - Designed the backend with FastAPI, PostgreSQL, SQLAlchemy, and Alembic, including workflow versioning, graph validation, execution planning, and audit logging. - Added Redis/Celery workers to execute workflow nodes asynchronously, track node-level status, persist logs/artifacts, and support retries. - Built a Next.js dashboard with a React Flow workflow builder, execution history, logs, worker health, analytics, and admin user management. - Packaged the app with Docker Compose, seed data, GitHub Actions, Prometheus/Grafana configs, and setup/deployment documentation.
  • A
    AI CloudOps Platform
    Apr 2026 - Jun 2026 (3 months)
    Developed interactive dashboards for cloud spend analysis, anomaly detection, and infrastructure health monitoring. Built an AI-powered recommendation engine using LangGraph-style workflows with optional OpenAI integration and local fallback support. Implemented cloud cost anomaly detection with intelligent severity classification and estimated cost savings. Added Terraform configuration analysis to identify security, scalability, and cost optimization opportunities. Built Kubernetes workload monitoring with pod health, CPU, memory, restart metrics, and automated recommendations. Designed REST APIs with FastAPI and PostgreSQL, containerized using Docker Compose for one-command deployment. Added Prometheus metrics, automated testing, GitHub
  • P
    Python Executor – Secure Script Execution with nsjail
    May 2025
    A secure backend service to safely execute untrusted Python code inside a containerized and jailed environment. The system leverages nsjail for sandboxing and executes only the main() function of a submitted Python script, returning its result and printed output. Designed to prevent arbitrary code execution risks by enforcing syscall restrictions and resource limits. Deployed on Google Cloud Run for scalability and isolation. This project demonstrates secure Python execution, sandboxing, Dockerization, and REST API design, ideal for online judges, educational platforms, or AI-powered code assistants
  • T
    TypeScript/React Puzzle Game
    May 2025
    🎯 Key Features: ✔️ Interactive 9x9 color grid with real-time validation ✔️ Backtracking algorithm solver ✔️ Dynamic color picker & reset functionality ✔️ Mobile-responsive design 💡 Why It Stands Out: This isn’t typical Sudoku! I reimagined the classic puzzle using colors instead of numbers, focusing on: • Clean component architecture • Strict type safety • Intuitive UI/UX
  • P
    Political Sentiment Analysis
    Feb 2023 - May 2023 (4 months)
    The Real-Time Tweet Analysis System is a comprehensive solution designed to analyze ongoing tweets from political leaders, providing valuable insights into public sentiment. This project incorporates a variety of technologies including Apache Spark, Kafka, Elasticsearch, Kibana, Logstash, along with machine learning models such as LSTM, KNN, and Naive Bayes for sentiment analysis.
  • S
    Scalable Payment Processing System
    Jan 2023 - May 2023 (5 months)
    Architected a distributed transaction system using the Saga pattern, reducing payment failures by 40% Implemented a multi-layer fraud detection engine (rule-based + ML) that decreased chargebacks by 35% Designed Kafka-powered event streams for real-time auditing, processing 2M+ events/day Achieved 12K TPS throughput through Kubernetes auto-scaling and Redis caching Reduced query latency by 30% via PostgreSQL indexing and connection pooling
  • N
    NFT Transaction System
    Sep 2022 - Nov 2022 (3 months)
    • Implemented a web-based NFT trading application that can support buying and selling NFTs with ease. • All the necessary form validations and REST APIs have been used to make it completely work. • The website provides authentication and authorization and includes different privilege levels for users. • Technologies Used: Flask, Angular, Python, MySQL, HTML, and CSS
  • A
    Automatic Hindi Text Summarization
    Jul 2021 - Dec 2021 (6 months)
    • Carried out both the extractive and abstractive approaches to perform text summarization, especially in the Hindi language. • In the extractive method, we used libraries like NLTK, Lang detect, and Indic-NLP-library to tokenize the words and sentences. The scores of the sentences were calculated, and then the sentences that had a score greater than the threshold value were selected in the summary. • In the abstractive method, we trained the deep learning model using a Hindi article dataset containing more than 100,000 data rows in total. • The Seq2seq model was implemented using Bi-directional LSTM (Long Short Term Memory) and word embedding was carried out through encoders and decoders. Finally, we trained the model and got an accuracy o
  • N
    NoFullTime
    Jun 2021 - Aug 2021 (3 months)
    • A website that is intended for people searching for part-time jobs, wanting to study a course, or wanting to hire interns for the company • The website is user-friendly, where interns can easily edit their profile and view the requirements of recruiters for job prospects, and recruiters who are looking to hire interns can edit their job description and chat with interns regarding the further selection process. • Moreover, it includes different premium plans for different categories of users. Those who want to learn a course can pay the required amount and get lifetime access to that course.
  • P
    Paisa Tips
    May 2021 - Jun 2021 (2 months)
    PaisaTips is a static blog which provides information about stock market, crypto, tips to save tax and information regarding the accounting.
  • S
    Self Driving Car
    Feb 2021 - May 2021 (4 months)
    • This project is based on autonomously driving cars on roads. • Used different AI techniques, such as supervised regression and deep learning methods.
  • D
    Disk Scheduling Algorithms
    Aug 2020 - Nov 2020 (4 months)
    • Built a web application that implements disk scheduling algorithms using HTML, CSS, and JavaScript. • The website makes use of several ReactJS libraries for the UI and Firebase for backend operations.
  • F
    Food delivery and Security in Railways (DBMS)
    Jul 2019 - Nov 2019 (5 months)
    • Team project led by me. • Developed a database management system (DBMS) for "Railway Food Delivery and Security," starting from the design of the ER model and relational model to its implementation in MySQL for a more interactive and accurate implementation of our idea. • Designed a system that would solve the current food problems of the passengers traveling by train.
  • H
    Hindi Text Summarization using advanced deep learning and NLP algorithms
    Carried out both the extractive and abstractive approaches to perform text summarization specially in the Hindi Language. In Extractive method we used libraries like nltk, langdetect, and indic-nlp-library to tokenize the words and sentences. The scores of the sentences were calculated and then the sentences which had score greater than the threshold value were selected in the summary. In the abstractive method, we trained the deep learning model using a Hindi articles dataset containing more than 100000 data rows in total. Seq2seq model was implemented using Bi-directional LSTM (Long short term Memory) and word embedding was carried out through encoders and decoders. Finally we trained the model and got the accuracy of the model greater th
Publications verified_user 0% verified
  • Springer
    Cab Fare Prediction Using Machine Learning
    Springer
    Jun 2022
    Mehta, K., Shah, A., Patel, S. (2022). Cab Fare Prediction Using Machine Learning. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z. (eds) Computing Science, Communication and Security. COMS2 2022. Communications in Computer and Information Science, vol 1604. Springer, Cham. https://doi.org/10.1007/978-3-031-10551-7_18
  • IEEE
    Deep Learning Based Automatic Hindi Text Summarization
    IEEE
    May 2022
    A. Shah, D. Zanzmera and K. Mehta, "Deep Learning based Automatic Hindi Text Summarization," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 1455-1461, doi: 10.1109/ICCMC53470.2022.9753735.