Sandeep Ahirwar

Computer Science graduate (Dual Degree, IIITDM Kancheepuram) with hands-on experience in deep learning and computer vision, including CNN/YOLO-based object detection on 29,000+ images. Seeking an entry-level, remote technical role (Machine Learning / Data / Software) where I can apply applied ML, Python, and data-analysis skills while continuing to grow technically.

Research Intern, Deep Learning at IIITDM Kancheepuram (2023-05 – 2024-05)

• Analyzed 29,000+ road-scene images for object detection from a vehicle-mounted (dashcam) perspective, supporting autonomous-driving perception research.
• Trained a CNN-based object detection model using the YOLO algorithm to classify road objects, achieving ~86% accuracy.
• Built and iterated on the full pipeline — data preprocessing, model training, and evaluation — using Python, TensorFlow, and Keras.

UPSC Civil Services Examination Preparation at Self (2024-07 – Present)

• Prepared full-time for India's national civil services examination — covering public administration, current affairs, economics, and analytical/essay writing under a fixed, high-stakes timeline.
• Built sustained self-discipline, structured self-study habits, and the ability to manage long-term goals independently — skills carried directly into technical self-learning and project work.

Dual Degree (B.Tech + M.Tech) in Computer Science and Engineering – IIITDM Kancheepuram (2019 – 2024-07)

Senior Secondary (12th) – Army Public School, Jammu Cantt (2017 – 2019)

Secondary (10th) – Army Public School, Jammu Cantt (2015 – 2017)