Karanja User

S: SMEs were losing time to repetitive manual work.
T: Build scalable automation solutions to reduce overhead.
A: Delivered 50+ automations using APIs, Zapier, n8n, CRMs.
R: Saved clients 25+ hours weekly and boosted operations by 20%.

S: Manual weed removal slowed farm efficiency
T: Build a real-time laser weeding system using computer vision
A: Designed & deployed CNN + LSTM model; led a global 40-member technical team
R: 98% accurate classification of weeds vs crops & reduced manual labor by 80%

S: Security teams needed faster threat detection.
T: Create a real-time surveillance system for violence detection.
A: Built CV pipeline + alert system using LSTMs and optical flow.
R: Hit 90% detection accuracy, enabling immediate security alerts.

S: Visually impaired bus users struggled to identify correct buses.
T: Build an AI assistant to guide users independently.
A: Developed OCR + object detection models for routes and empty seats.
R: Increased user independence and accessibility in public transport.

Enrolled in and completing an MSc in Financial Engineering program at WorldQuant University from October 2025 to 2026.

Completed a Bachelor of Science in Mathematics and Computer Science from May 2018 to November 2022.