Rishhanth Maanav
Software Engineer at CVG, IIT Madras
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolRishhanth Maanav is a software engineer and derivatives trader with nine years of experience combining quantitative finance and machine learning to solve high-stakes, real-time problems. Trained as a Dual Degree electrical engineer from IIT Madras, he has built scalable, interpretable ML models for computer vision and safe deep learning during research stints at NTU and IIT Madras and applied vision systems in industry at Detect Technologies. In trading roles at Morgan Stanley and Optiver he specialized in interest rate and options market making across Japan and Brazil, bringing production-grade analytics to fast-paced desks. He has passed CFA Level I, reflecting a disciplined grounding in financial theory alongside his technical toolkit, and often bridges the gap between model interpretability and operational robustness. Not obviously stated: his early drone autonomy and defect-detection projects demonstrate a strong knack for embedding safety and reliability into real-world perception systems.
9 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology MadrasAISSE, AISSE at Bhavan's Rajaji Vidyashram, Kilpauk, ChennaiAISSCE, Computer Science, AISSCE, Computer Science at Maharishi Vidya Mandir Senior Secondary School, Chetpet, Chennai
English, Hindi, Tamil, Telugu, French
Github Skills (20)
visual-odometry8
depth-estimation8
slam-algorithms7
sparse7
css4
odometry4
javascript3
denoising2
image-processing2
image-augmentation2
computer-vision2
deep-learning2
satellite-imagery1
machine-learning1
kaggle1
Programming languages (3)
Github contributions (5)
tlokeshkumar/DBPN-tf
Sep 2018 - Oct 2018
Contributions:25 commits, 23 pushes in 1 month
Rishhanth/My_MicroProcessor
Nov 2017 - Jun 2018
Contributions:16 pushes, 1 branch in 7 months
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