I am Abhishek Goswami, a Module Lead with hands-on experience across backend engineering, data processing, cloud platforms, and DevOps delivery. My work spans Java, Python, Spark, AWS, microservices, ETL-style workflows, and large-scale enterprise systems. I also founded TalentOwner, a digital competition platform built to make talent more visible, measurable, and rewarding.
Module Lead • Senior Software Engineer • Founder
Experience across backend engineering, cloud, data processing, and platform delivery
E-Masters in Artificial Intelligence & Machine Learning
Certified cloud engineering background with deployment and platform experience
Strong fit for data engineering, ETL-style workflows, and large-scale processing systems
Built and supported high-volume enterprise workflows focused on reliability, automation, and performance
Built TalentOwner and product concepts from scratch with end-to-end ownership
A quick snapshot of experience across backend, data engineering, cloud, and product ownership.
A problem solver first, engineer second. I focus on building systems that are reliable, scalable, and meaningful for both users and businesses.
I come from Kashipur, Uttarakhand, and currently work in enterprise software delivery with strong hands-on experience in backend engineering, cloud platforms, data processing systems, integration flows, performance optimization, and DevOps practices. Over the years, I have worked across Java, Python, AWS, Apache Camel, Docker, Jenkins, MySQL, GitLab CI/CD, distributed systems, and large-volume processing workflows that align well with both backend and data engineering responsibilities.
Alongside my corporate experience, I have also built startup-led products, including TalentOwner, an Indian digital competition platform focused on making talent visible and reward-driven.
Enterprise delivery across backend engineering, data platforms, cloud architecture, and AI/ML-ready systems.
Architecting and delivering enterprise-scale AI/ML-ready platforms for one of the U.K.’s leading financial institutions, combining data engineering, backend development, and cloud-native infrastructure.
Drove backend optimization, cloud automation, deployment efficiency, and large-scale data repair activities across enterprise systems with strong ownership in delivery and solution improvement.
Contributed to enterprise software delivery through microservices development, DevOps practices, automation, and production engineering improvements that supported business growth.
Started the professional journey with hands-on exposure to Java development, enterprise engineering practices, and real-world software delivery environments.
Built TalentOwner, a digital competition platform focused on helping creators and performers gain visibility, recognition, and rewards through structured participation and engagement-driven experiences.
Product, platform, AI, and enterprise work that reflects both engineering depth and ownership.
Designed and built an Indian digital competition platform for photography, gaming, rap, singing, dance, and creator-led categories with a reward-driven participation model.
Built a content analysis and AI-detection workflow using multiple AI models to improve decision quality in authenticity and generated-content review scenarios.
Developed an AI-assisted medicine support concept focused on improving response quality, intelligent guidance, and helpful information flow for users.
Contributed to systems related to the Brexit transition and the UK financial ecosystem, supporting enterprise-grade processes and reliability-focused delivery.
Built and optimized workflows involving AWS Lambda, S3, XSLT transformations, XML validation, schema-driven processing, and high-volume file handling for faster and more reliable execution.
Worked on processor-style enterprise workflows involving file movement, validation, mapping, transformation, reconciliation, and operational handling for business-critical data exchanges.
A strong technical foundation with continued learning in AI and cloud.
Backend, data, cloud, and delivery-oriented engineering.
Open to backend, data engineering, cloud, platform, and engineering leadership opportunities across product and enterprise teams.