My name is Akshay Joshi, I’m a Senior AI Research Scientist at BlinkIn

Previous Affiliations: AMD, Google, ETH Zürich, German Research Center for AI, and Universität des Saarlandes.

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Akshay Joshi is a Senior AI Research Scientist - Google, ETH Zurich, AMD, DFKI, Saarland University

Technical Skills

I AM proficient in THE FOLLOWING technologies/frameworks

Python

LLM

NumPy

PyTorch

Scikit-learn

OpenCV

C/C++

MySQL

Computer Vision

Image Processing

Computer Graphics

NLP

Statistics

A/B Testing

FastAPI

Deep Learning

Qdrant

LLaMaIndex

AWS/GCP

Pandas

Docker

Git SCM

Transformers

Kubernetes

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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Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

Message Queuing Telemetry Transport Client

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

File Transfer Simulation with Integrity Check

Socket Programming using Python, TCP & Hashing

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

Graph Convolution Network Classifier with Sparse Adjacency Matrix Prior

Benchmarking FCN, CNN & GCN Classfier with a Custom Prior

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

COVID-19 Tweets Sentiment & Exploratory Data Analysis

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

Robust Spoken Language Recognition

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

Multi-stage Information Retrieval & Ranking System

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

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

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

Event-driven Pedestrian & Vehicle Detection

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

Akshay Joshi, Akshay Joshi Google - WikiArt, Covid, Object detection, yolo, car counting, speech recognition, reinforcement learning, cnn, gnn, socket programming

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

 

  • 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

 

  • 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

 

  • 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

 

  • 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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