Kohsheen Tiku

Bangalore, India

kohsheen.t@gmail.com

I’m an AI Engineer at Apexon, currently embedded at Goldman Sachs within the Reconciliation team, where I design anomaly detection pipelines, data normalization systems using RAG architectures, and AI-powered root cause analysis tools for trade break resolution.

Before this, I worked as a Quantitative Researcher at WorldQuant, deploying equity trading strategies across US markets and ranking in the top 10 of the International Quant Championship 2024. At Bank of America, I built an end-to-end portfolio optimization pipeline using hierarchical reinforcement learning for goal-based investing, achieving an 18% improvement in annualized returns with a Sharpe ratio of 2.3 over traditional methods.

My engineering background spans distributed systems and cloud infrastructure. At Cisco, I scaled Webex Calling APIs, modernized the B2BUA for Kubernetes-based cloud deployment, and built real-time monitoring systems with the ELK Stack. Earlier, at Insights Software, I developed high-performance ODBC/JDBC drivers for Hadoop/Hive ecosystems, and at Samsung R&D, I led a team building CNN-driven NLP models for Bixby’s device-specific utterance classification.

I hold a Master’s in Applied Mathematics from NYU Tandon School of Engineering and a Bachelor’s in Computer Science from BMS College of Engineering, Bangalore.

latest posts

Apr 15, 2026	Chapter 10: Contributing to AI Safety — Paths, Skills, and Getting Started
Mar 28, 2026	Chapter 9: AI Control — Safety Without Trusting the Model
Mar 18, 2026	Chapter 19: Evaluation and Monitoring

selected publications

IJCSE

CompNet: A novel Knowledge Graph Embedding Technique for Link Prediction

Kohsheen Tiku and Jayshree Maloo

International Journal of Computer Sciences and Engineering, Aug 2020

Abs Bib HTML

@article{tiku2020compnet,
  title = {CompNet: A novel Knowledge Graph Embedding Technique for Link Prediction},
  author = {Tiku, Kohsheen and Maloo, Jayshree},
  journal = {International Journal of Computer Sciences and Engineering},
  volume = {8},
  year = {2020},
  month = aug,
  url = {https://www.ijcseonline.org/pub_paper/1-IJCSE-08123.pdf},
}

IEEE

Real-time Conversion of Sign Language to Text and Speech

Kohsheen Tiku, Jayshree Maloo, and Aishwarya Ramesh

In IEEE Second International Conference on Inventive Research in Computing Applications (ICIRCA), Sep 2020

Abs Bib HTML

@inproceedings{tiku2020signlanguage,
  title = {Real-time Conversion of Sign Language to Text and Speech},
  author = {Tiku, Kohsheen and Maloo, Jayshree and Ramesh, Aishwarya},
  booktitle = {IEEE Second International Conference on Inventive Research in Computing Applications (ICIRCA)},
  year = {2020},
  month = sep,
  publisher = {IEEE},
  url = {https://ieeexplore.ieee.org/abstract/document/9182877},
}