Aashay Harlalka

Co-Founder

Bengaluru, Karnataka, India12 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Co-Founder of a financial research firm.
  • Expertise in high-frequency trading strategies.
  • Strong background in machine learning applications.
Stackforce AI infers this person is a Fintech expert with a focus on algorithmic trading and data analysis.

Contact

Skills

Core Skills

AlgorithmsData AnalysisMachine LearningRisk ManagementSoftware Development

Other Skills

Algorithm TestingBashCC++Data BufferingData StructuresDerivativesGraphical ModelsHigh Frequency TradingJavaMap-ReduceMarket Scenario DevelopmentMarkov ChainMarkov Logic SetMatlab

About

I am trying to bring efficiency and fairness in Financial Markets

Experience

Plutus research private limited

Co-Founder & Director

May 2017Present · 8 yrs 10 mos · Bengaluru, Karnataka, India

  • www.plutusresearch.com

Two roads technological solutions pvt. ltd.

2 roles

Senior Asian Trader

Sep 2015May 2017 · 1 yr 8 mos · Bangalore

  • Leading a team of 8 people which is responsible for making and trading HFT strategies.

Data Scientist

Jul 2014Sep 2015 · 1 yr 2 mos · Bangalore

  • I am working as a High Frequency Trader/ High Frequency Strategist/ Data Scientist at Two Roads Technological Solutions Pvt. Ltd. I am responsible for trading in Stock markets (in High frequency domain) and making trading strategies.

Yahoo

B.Tech Thesis

Dec 2013May 2014 · 5 mos · Mumbai Metropolitan Region

  • Guide: Prof. Ganesh Ramakrishnan, IIT Bombay and Shrikant Srinivas Naidu, Director Yahoo Labs
  • I worked on the project -- Diversified Entity Ranking in which I worked on two problems:
  • 1. Rank the different fields associated with the given entity.
  • 2. Rank the other entities w.r.t. given entity in a given field.
  • I introduced different planes and found out relations among them, also b/w planes & different entities.
  • I used the ideas of Markov Logic Set, Page Rank and graphical Models to solve this problem.

Bell laboratories

Research Internship

May 2013Jul 2013 · 2 mos · Bengaluru, Karnataka, India

  • I worked on two projects primarily:
  • Enhancing the performance of Cellular Base Stations
  • Proposed and Implemented a Machine Learning Algorithm to predict performance degradation in base stations using Markov Chain, probability distribution function and Regression Tree.
  • Achieved 92% accuracy in predicting performance degradation in Connection Success Rate
  • Analysis of Caching in cellular networks
  • Developed a model from diurnal pattern of data traffic and distribution of traffic across base stations.
  • Implemented code in Map-Reduce paradigm to analyze distribution of traffic across various web domains.

Edelweiss capital

Algorithmic Trader (Internship)

Dec 2012Jan 2013 · 1 mo · Kalina, Mumbai

  • I worked in "Global Risk Group and Markets" Team.
  • Risk Management system (RMS)
  • Received Pre-Placement Offer in recognition of outstanding performance in work.
  • Developed an automated approach to test functionality of different algorithms in different market scenarios.
  • Created many market scenarios by Pricing Derivatives for different exchanges segments.
  • Made Framework to add market scenarios which check functionality of algorithms.

Claritics social gaming analytics

Software Developer (Internship)

May 2012Jul 2012 · 2 mos · Pune/Pimpri-Chinchwad Area

  • Created SDK for ingesting gaming events to make it easy to collect relevant event data for social games
  • Implemented SDK write out to the MYSQL database that house the raw incoming event feeds
  • Enhanced Data Buffering to pool the events in a memory queue, which is dispatched to the database by a background thread not disturbing UI

Education

Indian Institute of Technology, Bombay

B.Tech (Honors) — Computer Science and Engineering

Jan 2010Jan 2014

Indian Institute of Technology, Bombay

Minor — Statistics

Jan 2010Jan 2014

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