Kohsheen Tiku

AI Researcher

India6 yrs 5 mos experience

Key Highlights

Developed award-winning trading strategies.
Engineered high-performance data connectivity solutions.
Led NLP model development improving efficiency by 35%.

Stackforce AI infers this person is a Fintech and SaaS specialist with expertise in machine learning and data-driven solutions.

Contact

kohsheen.t@gmail.com LinkedIn

Skills

Core Skills

Trading StrategiesStatistical TechniquesReinforcement LearningPortfolio OptimizationBack-end Web DevelopmentNatural Language Processing (nlp)

Other Skills

Amazon Web Services (AWS)Android StudioAngularApache KafkaBusiness StrategyCC (Programming Language)C++Cascading Style Sheets (CSS)Cloud ComputingCluster AnalysisCryptocurrency TradingData ConnectivityData ScienceDebugging

About

https://topmate.io/kohsheen

Experience

6 yrs 5 mos

Total Experience

11 mos

Average Tenure

1 yr 3 mos

Current Experience

Apexon

Machine Learning Engineer

Mar 2025 – Present · 1 yr 3 mos

Worldquant

Quantitative Research Consultant

Jun 2024 – Feb 2025 · 8 mos · United States · Remote

Developed and deployed alpha trading strategies for Mid-Frequency Trading in US equity markets using statistical techniques to identify profitable signals, contributing to competitive financial modeling and earning a top 10 rank in the International Quant Championship 2024 (USA).

Trading StrategiesStatistical Techniques

Bank of america merrill lynch

Graduate Student Researcher

Jun 2023 – Aug 2023 · 2 mos · New York, United States

Developed an end-to-end stock selection & portfolio optimization pipeline using hierarchical reinforcement learning, integrating a two-tiered decision-making framework for Goal-Based Investing to improve mid-to-long-term investment strategies. Achieved a Sharpe ratio of 2.3, significantly outperforming traditional optimizations.

Reinforcement LearningPortfolio Optimization

New york university

Graduate Course Assistant

Sep 2022 – Dec 2023 · 1 yr 3 mos · New York, New York, United States

Course(s):
Computational Finance Labratory (Fall'23) with Dr.Edward D. Weinberger
Data Visualisation Lab (Spring'23) with Dr.Francisco Rubio
NLP and The Investment Process(Fall'22) with Dr.Daniel Rodriguez

Cisco

Software Engineer

Sep 2020 – Jul 2022 · 1 yr 10 mos

Magnitude software, inc

Software Engineer Intern

Jan 2020 – Jul 2020 · 6 mos · Bengaluru, Karnataka, India

Engineered high-performance ODBC and JDBC drivers using C++ (SimbaEngine SDK) and Java, enabling seamless data connectivity for Hadoop/Hive Big Data ecosystems. Spearheaded integrations for Shopify, Stripe, Facebook, and Google Ads, optimizing data pipelines for mission-critical analytics.

RESTful WebServicesSQLBack-End Web Development

Samsung r&d institute india - bangalore private limited

Research Intern

Aug 2019 – Jan 2020 · 5 mos · Bengaluru Area, India

Led a team of four student researchers to develop a CNN-driven NLP model for device-specific prompt
classification in Bixby, improving computational efficiency by 35% through selective command processing, optimizing resource allocation and enhancing device responsiveness.

Natural Language Processing (NLP)Machine LearningDeep LearningTensorFlow