Haswanth Aekula
Senior Research And Development Engineer at Quant AI
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolHaswanth Aekula is a Senior Research and Development Engineer with six years of industry experience applying AI/ML and big data techniques to automotive and mobility problems. He has progressed through engineering and consultant roles at Mercedes-Benz and Daimler Truck Innovation Center India before joining Quant AI, blending mechanical engineering fundamentals from IIT Roorkee with an MTech in AI/ML from BITS Pilani. His background spans CAD, embedded/vehicle systems and research-focused engineering, enabling him to bridge vehicle-domain constraints with data-driven model development. Comfortable in both R&D and product-facing settings, he focuses on turning complex vehicle data into practical, deployable solutions. He also holds a postgraduate diploma in Big Data Technologies, reflecting an emphasis on scalable data pipelines as well as algorithms. Colleagues would note his wry GitHub bio—"In search of this thing called Peace xD"—which hints at a pragmatic but curious approach to problem solving.
6 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceIndian Institute of Technology RoorkeePost Graduate Diploma, Big Data Technologies, A, Post Graduate Diploma, Big Data Technologies, A at Centre for Development of Advanced Computing
English, Telugu, Hindi
Github Skills (89)
python10
datasets10
deep-learning10
speech10
torchvision10
computer-vision10
lightning10
artificial-intelligence10
supervised-learning10
diet10
pytorch10
lifecycle10
machine-learning10
segmentation10
ai9
Programming languages (4)
Github contributions (5)
hassiahk/Face-Recognition-based-Attendance-System
Feb 2020 - Oct 2020
Attendance Management System using Face Recognition
Contributions:16 commits, 4 PRs, 13 pushes in 7 months
management-systempythonattendance-managementattendance-management-systemdjango
hassiahk/MLRC-2020-Double-Hard-Debias
Nov 2020 - Apr 2021
Reproducing the results of Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation (ACL 2020)
Contributions:15 commits, 1 push in 4 months
nlpgender-biasword-embeddingsembeddingsdouble
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