My name is Akshay Joshi and I’m currently pursuing Joint M. Sc. Research Thesis on Self-Supervised Multimodal Representation Learning

Advising Institutions: ETH Zürich, Google, German Research Center for AI, and Universität des Saarlandes.

Know More Contact Me

Technical Skills

I AM proficient in THE FOLLOWING technologies/frameworks

Python

C++

NumPy

PyTorch

Scikit-learn

OpenCV

CUDA

MySQL

Computer Vision

Image Processing

Computer Graphics

NLP

Statistics

A/B Testing

R

Deep Learning

Tableau

Apache Spark

Information Retrieval

Data Mining

Docker

Git SCM

Agile Development

Kubernetes

Experience

PROFESSIONAL/ACADEMIC ASSOCIATIONS THAT BOLSTERED MY TECHNICAL & LEADERSHIP PROWESS

 
 
 
 
 

Joint M. Sc. Research Thesis

Google Zürich

Apr 2022 – Present Zürich, Switzerland
Tasks: Research on Self-Supervised Multimodal Representation Learning on Diagrams
 
 
 
 
 

Joint M. Sc. Research Thesis

ETH Zürich

Feb 2022 – Present Zürich, Switzerland
Tasks: Research on Self-Supervised Multimodal Representation Learning on Diagrams
 
 
 
 
 

Joint M. Sc. Research Thesis

Universität des Saarlandes & German Research Center for Artificial Intelligence

Feb 2022 – Present Saarbrücken, Germany
Tasks: Research on Self-Supervised Multimodal Representation Learning on Diagrams
 
 
 
 
 

Research Assistant

German Research Center for Artificial Intelligence (DFKI)

Nov 2020 – Present Saarbrücken, Germany
Tasks: Developing novel deep neural Transformer-based BioMedical Language Model architecture with linear self-attention for Semantic Search, Information Retrieval & Recommendation Systems.
 
 
 
 
 

Graduate Teaching Assistant

Universität des Saarlandes

Oct 2020 – Mar 2021 Saarbrücken, Germany
Lecture: Architectures for Intelligent Systems
Tasks: Developed a reference architecture & corresponding architectural design documents for Amazon Alexa powered Smart Digital Assistants for Conversational Question Answering.
 
 
 
 
 

Software Engineer

Advanced Micro Devices R&D

Aug 2018 – Aug 2019 Bangalore, India
Team: Platform Security Processor (PSP) Firmware
Engineering Group: Core Software Group
 
 
 
 
 

Software Engineering Intern

Advanced Micro Devices R&D

Feb 2018 – Aug 2018 Bangalore, India
Team: AMD Ryzen Master
Engineering Group: Core Software Group
 
 
 
 
 

Engineering Intern

Alstom

Jan 2017 – Mar 2017 Bangalore, India

Publications

Seminars, Conferences & Publications that I have delivered/currently working on

Investigation on the use of deep semi-supervised neural models to extract dense features in complex & ambiguous images spanning across 27 unique artistic styles. Self-supervision enforced to resolve class imbalance of WikiArt dataset

Amalgamating the reasoning power of Symbolic AI with the learning ability of Deep Neural Networks as part of Hybrid Machine Learning Approaches and Applications Seminar

At Computer Society of India 2017 conference, presented a research poster on Advanced Cryptographic Standards & Security. Further, delivered seminars on Quantum Computing & Phased Array Antennas for 5G Mobile Applications

Projects

Featured projects spanning across different research areas in Vision, NLP & Data Mining

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Message Queuing Telemetry Transport Client

MQTT Client application to simulate lightweight, publish-subscribe network protocol for IoT/Edge devices.

File Transfer Simulation with Integrity Check

Socket Programming using Python, TCP & Hashing

Graph Convolution Network Classifier with Sparse Adjacency Matrix Prior

Benchmarking FCN, CNN & GCN Classfier with a Custom Prior

COVID-19 Tweets Sentiment & Exploratory Data Analysis

Deep Self-supervised Transfer Learning based Sentiment Analysis of COVID19 Tweets

Robust Spoken Language Recognition

Uncover hidden patterns in the phoneme vector space by performing Pairwise Cosine Similarity, Dimensionality Reduction & Spacial Clustering

Multi-stage Information Retrieval & Ranking System

Search Engine implemented using Language Models, BM25 (Okapi, Plus) & TF-IDF

Open-domain Question Answering with End-to-End Memory Networks

Deep neural implementation of a QA system using Knowledge Graphs & Wikipedia Corpus

Event-driven Pedestrian & Vehicle Detection

Implementation of a real-time ROI-based Vehicle Detection and Counting system using OpenCV & YOLO

Context-aware Intelligent Assistant with Deep Q Learning

Devising a reinforcement learning based architecture for robust speech assistants

HONOURS & ACHIEVEMENTS

ACCOMPLISHMENTS THAT BOLSTERED MY ACADEMIC & LEADERSHIP FINESSE

Professional Recommendations

Details:

  • Recommended by the Director of Technology & Software Engineering and various Senior Engineers at AMD.
  • Demonstrated solid technical expertise and agile adaptability skills.

Bachelor of Engineering Class Rank

Details:

  • Ranked in the Top 5% of the graduating class in Computer Science & Engineering department.
  • Total number of students in the graduating cohort of 2017 were 106.

Academic Recommendations

Details:

  • Recommended by Prof. Shiva Kumar Dalali, Prof. Manjunatha P.B and Prof. Raghavendra T.S in the Computer Science department.
  • Illustrated exceptional research/course work in Discrete Mathematics, Computer Graphics & Visualization.

Vice-Captain

Details:

  • Vice-Captain of state-level Throwball team, representing Raichur district, India.
  • The Pre-University tournament was held at Mysore, Karnataka, India.

Contact

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