Kanishk User
@kanishkuser
Technical lead and full-stack developer focused on AI-driven automation and scalable web systems.
What I'm looking for
I am a technical lead and full-stack developer specializing in AI-driven automation, multi-agent systems, and scalable web architectures. I design and ship production-grade solutions — from multi-agent PII redaction and intelligent document processing to legacy-to-modern code migration using custom Python LLMs — delivering measurable performance and reliability improvements.
My work blends backend engineering, model orchestration, and frontend experience: building MCP servers, integrating document-processing microservices, and creating responsive UIs. I have led systems that improved query performance, reduced response times, and automated operational workflows while contributing to open-source projects and competition-winning prototypes.
Experience
Work history, roles, and key accomplishments
Technical Lead
HCLTech
Aug 2025 - Present (10 months)
Architected a multi-agent PII redaction system and engineered a legacy-to-modern code migration pipeline translating COBOL to Java; developed IDP solutions to convert handwritten documents to structured JSON/PDF and built MCP FastAPI servers to extend agent toolsets across repository management.
Full Stack Developer
ZV Attkan Designs Pvt Ltd
Jan 2024 - Jun 2024 (5 months)
Architected a scalable Customer Feedback System for 500+ users reducing response times by 45% and built an admin dashboard with real-time analytics and automated alerting that resolved 85% of recurring issues; optimized MongoDB models and indexing to speed queries by 55%.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Kurukshetra
Bachelor of Technology, Information Technology
2021 - 2025
Grade: 7.42 CGPA
Activities and societies: Secretary, Hiking & Trekking Club; participant in Smart India Hackathon 2023; winner of institute round of Google Cloud Solve for India hackathon.
Completed a Bachelor of Technology in Information Technology with a focus on software engineering, machine learning, and cloud-native development, graduating with a CGPA of 7.42.
Availability
Location
Authorized to work in
Job categories
Skills
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