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Full Stack Software Engineer with 4 years of professional experience designing and deploying scalable AI/ML-integrated web applications, cloud-native microservices, and real-time data streaming pipelines. Demonstrated expertise in Python, React.js, FastAPI, and AWS cloud services. Experienced in integrating Generative AI, LLM-powered automation, and Kafka-based event streaming into enterprise platforms through production roles at Confluent (Enterprise Data Management) and Paytm (Digital Messaging). Currently pursuing an M.S. in Computer Science focusing on Machine Learning and Distributed Systems. F-1 OPT authorized to work in the USA without sponsorship.…Full Stack Software Engineer with 4 years of professional experience designing and deploying scalable AI/ML-integrated web applications, cloud-native microservices, and real-time data streaming pipelines. Demonstrated expertise in Python, React.js, FastAPI, and AWS cloud services. Experienced in integrating Generative AI, LLM-powered automation, and Kafka-based event streaming into enterprise platforms through production roles at Confluent (Enterprise Data Management) and Paytm (Digital Messaging). Currently pursuing an M.S. in Computer Science focusing on Machine Learning and Distributed Systems. F-1 OPT authorized to work in the USA without sponsorship.

NIKITHA KOTHAGADI

Full Stack Developer, AI Engineer, Data Scientist, +1

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Full Stack Software Engineer with 4 years of professional experience designing and deploying scalable AI/ML-integrated web applications, cloud-native microservices, and real-time data streaming pipelines. Demonstrated expertise in Python, React.js, FastAPI, and AWS cloud services. Experienced in integrating Generative AI, LLM-powered automation, and Kafka-based event streaming into enterprise platforms through production roles at Confluent (Enterprise Data Management) and Paytm (Digital Messaging). Currently pursuing an M.S. in Computer Science focusing on Machine Learning and Distributed Systems. F-1 OPT authorized to work in the USA without sponsorship.…Full Stack Software Engineer with 4 years of professional experience designing and deploying scalable AI/ML-integrated web applications, cloud-native microservices, and real-time data streaming pipelines. Demonstrated expertise in Python, React.js, FastAPI, and AWS cloud services. Experienced in integrating Generative AI, LLM-powered automation, and Kafka-based event streaming into enterprise platforms through production roles at Confluent (Enterprise Data Management) and Paytm (Digital Messaging). Currently pursuing an M.S. in Computer Science focusing on Machine Learning and Distributed Systems. F-1 OPT authorized to work in the USA without sponsorship.

Available to hire

Full Stack Software Engineer with 4 years of professional experience designing and deploying scalable AI/ML-integrated web applications, cloud-native microservices, and real-time data streaming pipelines. Demonstrated expertise in Python, React.js, FastAPI, and AWS cloud services.

Experienced in integrating Generative AI, LLM-powered automation, and Kafka-based event streaming into enterprise platforms through production roles at Confluent (Enterprise Data Management) and Paytm (Digital Messaging). Currently pursuing an M.S. in Computer Science focusing on Machine Learning and Distributed Systems. F-1 OPT authorized to work in the USA without sponsorship.

Skills

Language

Work Experience

Software Engineer (AI/ML & Full Stack) at Confluent

August 1, 2025 - Present

Architected and deployed AI-powered microservices using Python and FastAPI on Confluent's Enterprise Data Management platform, enabling real-time event-driven data pipelines processing 5M+ events/day with sub-100ms end-to-end latency. Designed and integrated LLM-powered intelligent automation workflows using RAG to reduce manual enterprise data processing overhead by 45%. Built full stack monitoring apps with React.js and FastAPI for Kafka cluster health, consumer group lag tracking, and Schema Registry management. Engineered low-latency ML model serving APIs using SageMaker endpoints and Lambda. Implemented Kafka Connect connectors with Schema Registry and Avro for schema governance across 12+ microservices. Automated CI/CD pipelines using GitHub Actions, Docker, and AWS EKS to reduce deployment cycle time by 50% with zero-downtime updates. Integrated observability and alerting (CloudWatch/Prometheus/Grafana), reducing MTTR by 40%. Applied MLOps practices including drift detection and

Full Stack Developer at Paytm (One97 Communications Ltd)

August 1, 2022 - August 1, 2024

Developed and maintained scalable full stack web applications for Paytm's Digital Messaging team using React.js, Python (FastAPI/Django), and PostgreSQL supporting messaging and notifications for 100M+ active users. Built event-driven microservices using Apache Kafka and FastAPI for real-time push/SMS/in-app messaging with at-least-once delivery and peak throughput of 50,000+ messages/second. Delivered ML-driven personalization and delivery-time optimization using Scikit-learn/TensorFlow deployed on AWS SageMaker, improving engagement by 34% and reducing opt-outs. Created React dashboards for campaign management and analytics for non-technical teams. Built serverless workflows (AWS Lambda, S3, API Gateway) for scheduling, reporting, SLA breach alerting and reduced operational cost by 25%. Implemented secure authentication/authorization using JWT, OAuth2, and RBAC. Optimized PostgreSQL schemas and indexing to reduce API response latency by 28% for messaging status endpoints. Integrated