Harshavardhan Khamkar
@harshavardhankhamkar
I build production data pipelines, backend services, and deployed machine learning systems.
IndiaWhat I'm looking for
At Wabi Sabi Tech Solutions, I build AI-powered cybersecurity products, including agentic risk-scoring pipelines, document-processing workflows, XGBoost classification models, and NestJS APIs supporting 100K+ monthly users.
I've reduced manual review effort by 60% through automated data processing and evaluation pipelines, while improving deployment reliability by 40% through Docker-based containerisation, monitoring, and performance optimisation. My work connects Python inference services with production backend systems and scalable microservice components.
Through PriceFlow, PRISM, and Raseed, I've built ETL pipelines into BigQuery, real-time pricing services, graph-based fraud detection, and multi-agent receipt processing on Vertex AI and Google ADK.
I'm also a published ML researcher with a 9.63/10 academic record, and I enjoy turning model development, data engineering, and backend systems into reliable deployed products.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
Wabi Sabi Tech Solutions
Jun 2026 - Present (2 months)
Built an agentic AI pipeline in Langflow for cyber-risk scoring and insurance recommendations, including document processing and XGBoost model deployment. Engineered high-performance NestJS APIs and containerized services, improving deployment reliability by 40%.
Cybersecurity Intern
JSW Steel
Jul 2025 - Jul 2025 (0 months)
Learned enterprise cybersecurity practices in a regulated manufacturing environment, including network security architecture, firewall configuration, and access controls. Observed security operations and incident response workflows.
Education
Degrees, certifications, and relevant coursework
Vivekanand Education Society’s Institute of Technology (VESIT)
Bachelor of Engineering, Computer Engineering
2023 -
Grade: 9.63/10
Activities and societies: Technical Manager, CodeCell++; Technical Lead, Google Developer Groups (GDG)
Pursuing a Bachelor of Engineering in Computer Engineering with a CGPA of 9.63/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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