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I'm Aniket Chopade, a full-stack software engineer based in San Jose, California. I design, develop, and scale robust applications with a focus on RESTful APIs, microservices, and data-driven features. I'm proficient in Python (FastAPI, Flask) and JavaScript (Node.js, React), and I apply AI/ML techniques with XGBoost, TensorFlow, and NLP for anomaly detection and predictive maintenance. I build on AWS, Docker, and Kubernetes, automate CI/CD with Jenkins and GitHub Actions, and deliver fast, reliable dashboards and log-analytics pipelines.…I'm Aniket Chopade, a full-stack software engineer based in San Jose, California. I design, develop, and scale robust applications with a focus on RESTful APIs, microservices, and data-driven features. I'm proficient in Python (FastAPI, Flask) and JavaScript (Node.js, React), and I apply AI/ML techniques with XGBoost, TensorFlow, and NLP for anomaly detection and predictive maintenance. I build on AWS, Docker, and Kubernetes, automate CI/CD with Jenkins and GitHub Actions, and deliver fast, reliable dashboards and log-analytics pipelines.

Aniket Chopade

Full Stack Developer, Web Developer, Back-End Developer, +7

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I'm Aniket Chopade, a full-stack software engineer based in San Jose, California. I design, develop, and scale robust applications with a focus on RESTful APIs, microservices, and data-driven features. I'm proficient in Python (FastAPI, Flask) and JavaScript (Node.js, React), and I apply AI/ML techniques with XGBoost, TensorFlow, and NLP for anomaly detection and predictive maintenance. I build on AWS, Docker, and Kubernetes, automate CI/CD with Jenkins and GitHub Actions, and deliver fast, reliable dashboards and log-analytics pipelines.…I'm Aniket Chopade, a full-stack software engineer based in San Jose, California. I design, develop, and scale robust applications with a focus on RESTful APIs, microservices, and data-driven features. I'm proficient in Python (FastAPI, Flask) and JavaScript (Node.js, React), and I apply AI/ML techniques with XGBoost, TensorFlow, and NLP for anomaly detection and predictive maintenance. I build on AWS, Docker, and Kubernetes, automate CI/CD with Jenkins and GitHub Actions, and deliver fast, reliable dashboards and log-analytics pipelines.

Available to hire

I’m Aniket Chopade, a full-stack software engineer based in San Jose, California. I design, develop, and scale robust applications with a focus on RESTful APIs, microservices, and data-driven features.

I’m proficient in Python (FastAPI, Flask) and JavaScript (Node.js, React), and I apply AI/ML techniques with XGBoost, TensorFlow, and NLP for anomaly detection and predictive maintenance. I build on AWS, Docker, and Kubernetes, automate CI/CD with Jenkins and GitHub Actions, and deliver fast, reliable dashboards and log-analytics pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at Honeywell

July 1, 2025 - Present

Modernized FastAPI microservices on AWS/SQL, enabling 3K+ IoT fire sensors with secure, scalable storage and fault-tolerant alerting. Orchestrated real-time processing of 5,200 signals/sec and streamlined ingestion of 300K+ logs with dashboards, achieving sub-500 ms latency and telemetry compliance. Implemented alerting, unified backend with hardware integration, and improved 600+ daily notifications via Python memoization. Innovated anomaly-detection and predictive-maintenance pipelines using Python, XGBoost, and ML, prioritizing alerts to forecast failures and minimize downtime via NLP on 52K+ logs. Delivered FastAPI microservices and visualization prototypes on AWS (EC2), iteratively refining APIs in PyCharm to elevate profiling efficiency and decrease debugging time by 20%.

Software Engineer at Capgemini

July 1, 2023 - October 10, 2025

Championed MERN full-stack apps with Next.js; integrated AWS to support 25K+ monthly sessions and deliver 18 APIs. Leveraged Webpack optimizations and code splitting to reduce bundle size by 35%, improving initial load performance for client-facing modules. Accelerated 12 slow queries with embedded Redis caching, reducing latency from 3.5s to 1.1s in core flow. Hardened behavioral analytics into APIs, built a Scikit-Learn model for 500+ weekly ticket classifications using Pandas-NLTK on 10K+ logs, improving accuracy and saving 10 hours/week. Rolled out containerized deployments and CI/CD pipelines using Jenkins and Docker to streamline development workflows.

Software Engineer at Dell Technologies

May 1, 2021 - October 10, 2025

Executed asynchronous retrieval and caching, minimizing API latency from 500 ms to 300 ms for 100+ users, and refined Lazy Loading in Vue dashboards for deferred assets. Architected data pipelines and APIs; implemented Webpack & Bootstrap dashboards for 1-minute syncs and minimal downtime. Pioneered API authentication/rate-limiting, securing 5 services, handling 1K+ requests/min, and employed memoization to streamline repeated data transformations. Produced real-time JS/Python dashboards (<10s refresh) for 5 platforms; restructured DOM, trimmed load to 2.3s.

Software Engineer at Honeywell

July 1, 2025 - Present

Modernized FastAPI microservices on AWS/SQL enabling 3K+ IoT fire sensors with secure, scalable storage and fault-tolerant alerting; choreographed real-time processing of 5,200 signals/sec, streaming ingestion of 300K+ logs, and refined dashboards delivering sub-500 ms latency and telemetry compliance; instituted alerts, unified backend with hardware integration, and enhanced 600+ daily notifications via Python memoization; designed anomaly-detection and predictive-maintenance pipelines using Python, XGBoost, and ML, prioritizing alerts, forecasting failures, and reducing downtime through NLP-based log analysis; delivered FastAPI microservices and visualization prototypes on AWS EC2 and improved profiling efficiency.

Software Engineer at Capgemini

July 1, 2023 - October 10, 2025

Championed MERN full-stack apps with Next.js; integrated AWS to support 25K+ monthly sessions and deliver 18 APIs; optimized Webpack and code splitting reducing bundle sizes by 35%; accelerated 12 slow queries and implemented Redis caching reducing core flow latency from 3.5s to 1.1s; leveraged behavioral analytics to API; built ML models (scikit-learn) for 500+ weekly ticket classifications and processed 10K+ logs using Pandas and NLTK; deployed TensorFlow/PyTorch edge models for on-demand inference; overhauled CI/CD with Jenkins and GitHub Actions; containerized 10+ services on Docker/Kubernetes; enabled Netlify front-end previews with 3 validation cycles per sprint.

Software Engineer at Dell Technologies

May 1, 2021 - October 10, 2025

Executed asynchronous retrieval and caching, minimizing API latency from 500 ms to 300 ms for 100+ users; refined Lazy Loading in Vue dashboards for deferred assets; architected data pipelines and APIs; implemented Webpack & Bootstrap dashboards for 1-minute syncs and minimal downtime; pioneered API authentication/rate-limiting, securing 5 services, handling 1K+ requests/min, and employed Memoization to streamline repeated data transformations; codified deployment scripts for Flask, reducing rollout setup from 10h to 3h and leveraging PyCharm automation for test execution and refactoring across 5 repositories; produced real-time JS/Python dashboards (<10 s refresh) for 5 platforms; restructured DOM, trimming load to 2.3s.

Software Engineer at Honeywell

July 1, 2025 - October 31, 2025

Modernized FastAPI microservices on AWS/SQ L, enabling 3K+ IoT fire sensors with secure, scalable storage and fault-tolerant alerting. Engineered real-time data processing for thousands of signals per second, streaming hundreds of thousands of logs, and delivered dashboards for sensor health monitoring. Built robust alerts, improved reliability, and contributed to security hardening and CI/CD practices.

Software Engineer at Capgemini

July 1, 2023 - July 1, 2023

Developed MERN/Full-Stack apps with Next.js; integrated AWS to support 25K+ monthly sessions and deliver 18 APIs. Leveraged Webpack optimizations and code-splitting to shrink bundle sizes by ~35% and improve client module load times. Drove real-time dashboards, standardized CI/CD, and mentored a 7-member team.

Software Engineer at Dell Technologies

May 1, 2021 - May 1, 2021

Architected data pipelines and APIs; implemented Webpack & Bootstrap dashboards for 1-minute synchronization and minimal downtime. Executed asynchronous data retrieval and caching, reducing API latency from 500 ms to 300 ms for 100+ users; designed lazy loading in Vue dashboards for deferred assets. Pioneered API authentication and rate-limiting across multiple services handling 1K+ requests/min, and used memoization to streamline repeated data transforms.

Software Engineer at Honeywell

July 1, 2025 - November 12, 2025

Developed and modernized FastAPI-based microservices on AWS and SQL, enabling secure, scalable storage and fault-tolerant alerting for 3,000+ IoT sensors. Engineered real-time processing pipelines handling 5,200 signals/second and ingested 300,000+ logs, achieving sub-500 ms latency for dashboards and telemetry. Implemented anomaly detection and predictive maintenance pipelines using Python, XGBoost, and NLP; deployed on AWS EC2; improved profiling efficiency and system reliability.

Software Engineer at Honeywell

July 1, 2025 - November 17, 2025

Led development of cloud-native microservices and dashboards, building MERN stack applications with Next.js on AWS, delivering secure, scalable RESTful APIs and real-time telemetry dashboards. Improved data processing reliability for 3,000+ IoT sensors and enhanced overall system performance.

Software Engineer at Honeywell

July 1, 2025 - November 24, 2025

Developed and modernized FastAPI-based microservices on AWS and SQL, enabling secure, scalable storage and fault-tolerant alerting for 3,000+ IoT sensors; engineered real-time processing pipelines handling 5,200 signals/second and ingested 300,000+ logs, achieving <500 ms latency for dashboards and telemetry compliance; implemented anomaly detection and predictive maintenance pipelines using Python, XGBoost, and NLP, analyzing 52,000+ logs to prioritize alerts and reduce downtime; optimized API performance with Python memoization, enhancing 600+ daily notifications and reducing debug time by 20%.

Software Engineer at Capgemini

July 31, 2023 - July 31, 2023

Built MERN stack applications with Next.js and AWS, supporting 25,000+ monthly sessions and delivering 18 RESTful APIs; reduced bundle size by 35% via Webpack optimizations and code splitting; improved database performance by optimizing 12 slow queries and implementing Redis caching; designed data pipelines and REST APIs, integrated with Bootstrap for real-time dashboards; implemented API authentication and rate-limiting; automated deployment scripts for Flask reducing rollout time from 10 hours to 3 hours; led a 7-member team with 150+ tasks and coordinated integrations with PyCharm IDE.

Software Engineer at Dell Technologies

May 31, 2021 - May 31, 2021

Optimized API latency from 500 ms to 300 ms for 100+ users by implementing asynchronous retry and caching; architected data pipelines and REST APIs, integrating Webpack and Bootstrap for real-time dashboards with <10s refresh; secured 5 services with API authentication and rate-limiting; automated deployment scripts and CI/CD pipelines; led Agile delivery in a 7-member team, closing 150+ tasks and optimizing integrations with PyCharm IDE.

Software Engineer at Capgemini

August 1, 2021 - July 1, 2023

Built MERN stack applications with Next.js and AWS, supporting 25,000+ monthly sessions and delivering 18 RESTful APIs. Reduced bundle size by 35% through Webpack optimizations and Code Splitting, improving frontend load performance. Improved database performance by optimizing 12 slow queries and implementing Redis caching, cutting latency from 3.5s to 1.1s. Developed scikit-learn models for ticket classification (500+ weekly) and leveraged PyTorch for 10,000+ log analyses, saving 10 hours per week. Deployed TensorFlow models to edge devices for on-demand inference. Streamlined CI/CD pipelines using Jenkins, GitHub Actions, Docker, and Kubernetes, adding validation cycles per sprint and improving reliability.

Software Engineer at Dell Technologies

June 1, 2020 - May 1, 2021

Optimized API latency from 500 ms to 300 ms for 100+ users by implementing asynchronous processing and caching, and enhanced Vue dashboards with real-time loading indicators. Architected end-to-end data pipelines and REST APIs, integrating Redis for caching and improved front-end performance. Led the design of dashboards and microservices integration using web technologies and CI/CD tooling.

Software Engineer at Capgemini India

August 1, 2021 - July 31, 2023

Built MERN stack applications with Next.js and AWS, supporting 25,000+ monthly sessions and delivering 18 RESTful APIs. Reduced bundle size by 35% through Webpack optimizations and code splitting, improving frontend load times. Improved database performance by optimizing 12 slow queries and adding Redis caching, cutting latency from 3.5s to 1.1s. Developed scikit-learn models for ticket classification (500+ weekly) and analyzed 10,000+ logs using Pandas-NLTK, saving ~10 hours per week. Deployed TensorFlow models to edge devices for on-demand inference, boosting prediction speed and enabling real-time workflows. Streamlined CI/CD with Jenkins, GitHub Actions, Docker, Kubernetes, enabling 3 validation cycles per sprint and Netflix-like frontend quality previews. Led Agile delivery for a 7-member team, closing 150+ tasks and integrating with PyCharm IDE.