Shashwat Banchhor

Software Engineer

Delhi, India5 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in C++ and automated trading systems.
  • Proficient in deep learning and algorithm design.
  • Strong background in blockchain and cryptography.
Stackforce AI infers this person is a skilled developer in Fintech and AI-driven solutions.

Contact

Skills

Core Skills

C++Automated Trading SystemsAlgorithm DesignDeep Neural NetworksJavaBlockchainDeep LearningVhdl

Other Skills

Artificial Neural NetworksC (Programming Language)ClusteringCryptographyFPGAHyperparameter OptimizationImage ProcessingMachine LearningOptical FlowPython (Programming Language)Q-Learning

About

Bachelors of Technology Computer Science and Engineering, Indian Institute of Technology, Delhi | Learning

Experience

Nk securities

C++ Infrastructure Developer

Aug 2020Present · 5 yrs 7 mos · Gurugram, Haryana, India

  • Implementing and optimizing high frequency automated trading system.
C++Automated Trading Systems

National university of singapore

Research Assistant

Jan 2020Feb 2020 · 1 mo · Singapore

  • Devising a truly subquadratic algorithm for clustering reads in DNA storage, known to have many small clusters in edit distance space.
Algorithm DesignClustering

King abdullah university of science and technology

Visiting Intern

Dec 2019Jan 2020 · 1 mo · Jeddah Governorate, Saudi Arabia

  • Worked towards a profiling technique for deep neural network Optimizer
  • Implemented Q-Learning for optimization of hyperparameters built a modular code which can be used to install the profiling technique in any given optimizer.
  • Employed and experimented for multiple DNNs for multiple datasets on the HPC.
Deep Neural NetworksQ-LearningHyperparameter Optimization

Indian institute of technology jammu

Teaching Assistant

Aug 2019Nov 2019 · 3 mos · New Delhi, Delhi, India

  • Worked as a teaching assistant for the course Introduction to Parallel and Distributed Programming(CSL380), IIT Jammu

Samsung r&d institute india - bangalore private limited

Research Intern

May 2019Jul 2019 · 2 mos · Bangalore, India

  • Worked in Java for deployment of Android Application for the Samsung One, IOT Division.
  • Trained ML Model(transfer learning in fasttext), for text classification and device prediction.
  • Employed heuristics and image processing to remove Ad blocks from mobile screenshots.
  • Worked with Tesseract and Firebase OCRs to extract text data from processed screenshots.
  • Explored the SGNNs, to build a computationally light ML model for classification in mobiles.
JavaMachine LearningImage Processing

Indian institute of technology, delhi

3 roles

Identity framework on Blockchain

Jul 2018Aug 2018 · 1 mo · New Delhi Area, India

  • Devised an identity framework, presented white paper on Self Sovereign Identity framework of Appspicket startup.
  • Involves the use of Cryptographic constructs :- Zero Knowledge Proofs, Anonymous Credentials and Blind signatures.
  • Incorporating a factor of Social trust into the framework to solve the problems the Adhaar framework is facing in India.
BlockchainCryptography

Research Project - Detecting Speech transition by analysing Respiration Patterns

May 2018Jul 2018 · 2 mos · New Delhi Area, India

  • Worked to predict when a human is going to speak using muted video(regular camera) inputs of chest movement(manually collected).
  • Extracted respiration data from videos using Optical Flow Vector computation in a region with pixels moving in sync.
  • Trained LSTM Deep Learning Model to accurately detect the presence of speech transition in a respiration window.
  • Computationally efficient method is employed for detection of contact free respiration patterns, highly suitable for mobile.
Deep LearningOptical Flow

Research Project - Data Modulation in Visible Light Communication

Dec 2017Jan 2018 · 1 mo · New Delhi Area, India

  • Encoded VPPM and VOOK modulation schemes using the concept of Dimming, in VHDL, implemented on FPGA.
  • Implemented using Differential Modulation of the signal to properly synchronise the receiver and align its local clock.
  • Developed a model which provides multiple modulation schemes and data transfer rates to select from to transmit data.
VHDLFPGA

Education

Indian Institute of Technology, Delhi

Bachelor's degree — Computer Science and Engineering

Jan 2016Jan 2020

Delhi Public School, Bhilai

Higher Secondary

Jan 2002Jan 2016

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