A
Ankit Kumar
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Fremont, California, United States
Résumé
Jobs
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Senior Full Stack DeveloperGditNov 2023 - Current (3 years)• Spearheaded the development of large-scale enterprise applications using Python (Django, FastAPI) and modern front-end frameworks (React, Vue.js), delivering platforms capable of supporting 50K+ concurrent users with seamless performance. • Designed and implemented event-driven data pipelines with Kafka, Redis, and Airflow, reducing reporting delays by 45% and enabling real-time operational insights for stakeholders. • Introduced LLM-powered automation tools (Hugging Face Transformers, SpaCy) to streamline document processing and customer support, cuting manual workloads by 40% and improving response times. • Modernized legacy systems by transitioning from a monolithic architecture to microservices deployed on AWS EKS, which improved- AFull Stack DeveloperAlpha CentrixAug 2018 - Oct 2023 (5 years 3 months)• Developed HIPAA-compliant healthcare platforms with Django REST Framework and PostgreSQL, passing multiple compliance audits with zero issues. • Built real-time logistics tracking systems using React, WebSockets, and Kafka, allowing customers to monitor shipments live and reducing delivery disputes by 25%. • Designed and deployed AI-driven recommendation engines for e-commerce, leveraging PyTorch and Scikit-learn, which increased conversion rates by 18% and boosted average order value by 12%. • Built scalable ETL pipelines handling 100GB+ of structured and unstructured data daily using Spark, Pandas, and Airflow, improving demand forecasting accuracy by 20%. • Integrated 10+ third-party APIs (Stripe, PayPal, FedEx, UPS, Google Analyt
- Python DeveloperCherryRoadJul 2014 - Jul 2018 (4 years 1 month)• Developed scalable backend applications with Django and Flask, supporting up to 25K daily active users across multiple business platforms. • Built secure authentication systems using OAuth2.0, JWT, and token-based access, ensuring enterprise-grade data protection. • Migrated multiple legacy PHP applications into Python-based architectures, reducing maintenance overhead by 25% while improving system reliability. • Automated data extraction pipelines using Scrapy and BeautifulSoup, cuting manual data collection work by 70% and accelerating market research cycles. • Introduced Celery for background task management, enabling efficient handling of long-running processes and boosting throughput by 40% without affecting core API performance
Education
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- Bachelor's in computer scienceMidwestern State UniversitySep 2011 - Sep 2014 (3 years 1 month)