CandidateX
Research engineer · full-stack / evaluation systems
A reproducible research prototype that helps interviewers inspect technical evidence without making autonomous hire or reject decisions.
Backend / Full-Stack Software Engineer
I build backend-heavy product systems with Python, TypeScript, PostgreSQL, Redis, realtime APIs, testing, and applied machine learning.
Six portfolio case studies with source-backed contribution boundaries; the strongest backend and systems work leads the sequence.
Research engineer · full-stack / evaluation systems
A reproducible research prototype that helps interviewers inspect technical evidence without making autonomous hire or reject decisions.
Full-stack product engineering
A bounded beta path with local regression/build evidence and explicit production release gates.
System concept · applied ML / realtime interface
A deterministic demonstration path for sample meter signals, anomaly state, alert handling, and operator interpretation.
Interface direction · product experience
A product surface that makes rooftop potential, solar scenarios, and financial assumptions easier to inspect in sequence.
Applied ML study · evaluation
78.5% accuracy on the repository's specific 107-image holdout.
Product engineer · architecture and implementation
A maintainable recruiter surface with canonical case studies, stable source/live namespaces, and explicit evidence boundaries.
Academic foundation, internship experience, and current campus-selection status.
Selected through KIIT campus recruitment; Letter of Intent accepted. This is a selection, not current employment.
KIIT Deemed University
Telecom & Data Network Intern