Khooshi Sagparia
@khooshisagparia
I build computer vision and generative AI systems for detection, tracking, segmentation, and automation.
IndiaWhat I'm looking for
I've built computer vision and generative AI applications that turn imagery, video, telemetry, and market data into actionable insights.
As an ML Research Intern at IIT Mandi, I designed a two-stage Transformer pipeline in PyTorch for drone anomaly detection, achieving over 88% classification accuracy. I processed multi-frequency PX4 ROS 2 sensor and telemetry data to support early failure prediction.
At Bacancy Technology, I developed LLM and AI applications using RAG pipelines, prompt engineering, backend integration, and deployment workflows for real-world business problems.
My projects include a U-Net forest encroachment detection model using satellite imagery, Validex for knowledge-grounded startup idea validation, and VisionTrack, a real-time YOLOv8 and ByteTrack video detection system deployed through FastAPI.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Bacancy Technology
Jan 2026 - Jun 2026 (5 months)
Gained hands-on experience in building LLM and AI applications, developing RAG pipelines, prompt engineering, backend integration, and deploying AI solutions. Strengthened skills in Python, machine learning, and solving real-world business problems using generative AI.
ML Research Intern
IIT Mandi
May 2025 - Jul 2025 (2 months)
Designed a two-stage Transformer-based pipeline (PyTorch) for drone anomaly detection using forecasting and classification, achieving over 88% classification accuracy. Processed and engineered features from multi-frequency PX4 ROS 2 sensor/telemetry data to enable early failure prediction.
Education
Degrees, certifications, and relevant coursework
Pandit Deendayal Energy University
Bachelor of Technology, Information and Communication Technology
2022 -
Grade: 9.7/10
Pursuing a B.Tech in Information and Communication Technology with a minor in Computational Data Science, achieving a CPI of 9.7/10.
Shakti Higher Secondary School
Higher Secondary School Certificate, Science
2020 - 2022
Grade: 97.8 percentile
Completed higher secondary education in Science with a percentile of 97.8.
Availability
Location
IndiaAuthorized to work in
ZimbabweJob categories
Skills
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