Shubham Singh
I am Shubham Singh, a software engineer with 6+ years of hands-on experience in designing, developing, testing and deploying applications, and 2+ years focused on AI/ML systems, including training and distillation of…
About
I am Shubham Singh, a software engineer with 6+ years of hands-on experience in designing, developing, testing and deploying applications, and 2+ years focused on AI/ML systems, including training and distillation of Large Language Models, building autonomous AI agents, and deploying intelligent search infrastructure. I enjoy crafting scalable ML pipelines and AI tooling, and I thrive in fast-paced environments that emphasize experimentation and rapid prototyping.
I am passionate about AI tooling, vibe coding, and building AI-native developer workflows. I collaborate with cross-functional teams to design robust AI strategies, leverage cloud-native tooling on AWS, Docker, Kubernetes, and CI/CD pipelines, and deliver reliable software solutions while continually improving code quality and governance.
- 6 years' experience
- Joined January 2026
Industry experience
- Software & Internet
- Professional Services
Work experience
Architected and deployed domain-specific LLMs for document analysis; led distillation and fine-tuning of transformer models to optimize latency and cost while maintaining accuracy across legal and geospatial data; integrated LLM-powered ranking, semantic search, and document summarization into Solr-based infrastructure. Built autonomous AI agents for internal document workflow automation and created end-to-end ML pipelines for data cleaning, normalization, tokenization, and training set generation. Collaborated with cross-functional teams to design AI strategy and governance.
Contributed to early-stage AI initiatives by building React-based UIs interfacing with AI-powered services, including document classifiers and summarizers. Prototyped LLM-backed tools for internal use, such as contract summarization and entity extraction dashboards. Improved API performance and scalability, containerized services, and integrated real-time data streaming with Kafka. Utilized AWS S3 for storage and EC2 for hosting.
Developed backend systems with Java, Python, and JavaScript; built cross-platform UIs; implemented microservices architecture and CI/CD pipelines with Jenkins. Designed and optimized databases (MySQL, PostgreSQL, MongoDB, Firebase) and implemented an API Gateway. Gained hands-on experience with Docker, Kubernetes, and cloud platforms (GCP/AWS/Azure); worked with messaging queues (RabbitMQ) and RESTful services.
Education
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