K

Kaushal Gawri

AI Researcher

India5 yrs 6 mos experience
Most Likely To Switch

Key Highlights

  • Expert in developing innovative AI solutions.
  • Proven track record in optimizing backend systems.
  • Strong background in machine learning and healthcare applications.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in AI and Healthcare solutions.

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Skills

Core Skills

FastapiWebrtcDeep LearningComputer VisionSpring Boot

Other Skills

AWS LambdaAWS open-searchAdobe PhotoshopAlgorithmsAmazon CloudFrontAmazon Web Services (AWS)AnacondaAngularJSBiostatisticsCascading Style Sheets (CSS)Climate ScienceComputer ScienceData AnalysisData EthicsData Science

About

Avid interests around machine learning applications across research areas involving Neuromorphic computing and healthcare. Currently working in the area of neuromorphic computing to develop a pioneer approach that integrate Leaky Integrate and Fire with approximation of Astrocytes Model in Spiking Neural Networks enhancing energy efficiency, memory measurement, Routing and Fault Tolerance. In general, I like to spend major time of my day on algorithmic coding to develop optimised solution to problems and upgrade my skill set which I can apply in the industry to develop innovative technologies. I'm passionate about software development and problem solving that drives the logic behind softwares to make it more scalable. I would like to pursue a dynamic career in a growth oriented organization and contribute in it's development by solving real world day-to-day problems while concurrently improving my skills.

Experience

5 yrs 6 mos
Total Experience
1 yr 5 mos
Average Tenure
1 yr 10 mos
Current Experience

Mirae ai systems private limited

AI Research Engineer

Aug 2024Present · 1 yr 10 mos · Hybrid

  • 1. Developed microservices for a Conversational AI Agent using FastAPI for streaming a real-time video avatar communicating over WebRTC; fine-tuned and integrated a text-to-speech model to get a 0.1 real-time factor and a lip-sync model to get 0.35 real-time factor.
  • 2. Built a RAG pipeline over Llama3 for QnA across different set of confidential medical and naval documents using Milvus for document indexing.
  • 3. Developed a new architecture for Parler-TTS by including new attention blocks, integrating a speaker embeddings model for zero-shot voice cloning via cross-attention and finetuned the model over an in-house dataset for Indian English accent audios.
  • 4. Implementing a text-to-speech model incorporating Causal LM and an optimal-transport conditional flow matching based decoder (ODE based) and a supervised speech tokenizer to enable zero-shot voice cloning and prompt-based voice styling.
PyTorchDockerFastAPINext.jsWebrtcSockets+2

Indraprastha institute of information technology, delhi

AI Research Fellow

Aug 2024Present · 1 yr 10 mos · Hybrid

  • 1. Developed microservices for an end-to-end portal using a SHAP based residual deep learning model to classify and predict heart diseases based on ECG signals across 51 classes.
  • 2. Reviewed and benchmarked existing text-to-speech models and their real-time factors; fine-tuned various opensource TTS models including MelloTTS, CoquiTTS etc over Indian-English accents
PyTorchDockerFastAPINext.js

Semaai

2 roles

Software Engineer II

Jun 2023Jul 2024 · 1 yr 1 mo · Jakarta, Indonesia

  • 1. Developed proof-of-concept (POC) solutions for plant disease detection, segmentation, and classification tasks by crafting a customized deep learning architecture. The architecture incorporated the AlexNet framework with ResNet serving as the backbone, thus leveraging the strengths of both architectures. The model was meticulously fine-tuned by applying advanced techniques, including optimizing learning rate schedules to facilitate faster convergence. Other data augmentation techniques like stain normalization, image rotation etc were used to to enhance the model's robustness to variations in image quality and to further capitalize on the potential of transfer learning, the model was integrated with pre-trained weights from state-of-the-art networks.
  • 2. Developed a personalized credit scoring system to lend loan as part of Buy Now Pay Later product leveraging the specific attributes and behaviors of users to provide tailored credit or loan decisions
  • 3. Complete ownership of over 15 features from the date of joining along with optimizing runtime of various APIs by an astounding 90-94% and reducing warnings in our backend system by over 85%. Go to engineer for performance, efficiency and user-centric optimizations; resolved over 100 high-priority issues and bugs improving overall user experience
ProgrammingDeep LearningComputer VisionAmazon CloudFrontData ScienceSQL+13

Founding Backend Engineer

May 2022May 2023 · 1 yr · Jakarta, Indonesia

  • 1. Developed a search engine from scratch using AWS open-search, resulting in a 60% improvement in user retention and 80% improvement in order conversion. It involved creating and maintaining indexes, implementing data synchronization, and crafting optimal elastic-search queries.
  • 2. Developed a core service for product recommendation system utilizing content-based filtering for personalized user-user and product-product recommendations.
  • 3. Developed a robust, in-house role-based authorization control system for multiple product suites.
ProgrammingComputer VisionPandasSQLAmazon Web Services (AWS)Python (Programming Language)+8

Rocket software

Software Engineer

Dec 2021May 2022 · 5 mos · Remote

  • 1. Architecture and Features: Built a cutting-edge Role Based Access Control (RBAC) system using OAuth 2.0 and OpenID Connect. Integrated various Oauth 2.0 solutions like Auth0, Okta, Keycloak, AWS Cognito into the RBAC system.
  • Currently the algorithms are used across 4 different products
  • 2. Logging: Developed a custom logging library for streamlined logging across multiple product suites.
  • 3. Performance and Optimization: Involved in resolving security audits issues by around 80%; reducing warnings and errors in the MVIS product suite by an impressive 90%.
ProgrammingSpring BootAmazon Web Services (AWS)JavaRepresentational State Transfer (REST)Computer Science+5

Jpwilliamson inc

Software Developer Intern

Jul 2020Dec 2020 · 5 mos · Wilmington, Delaware, United States

  • I worked as a remote SDE intern with JWilliamson INC. I worked on the backend system of certain plugins and developing APIs focussed in JAVA along with GraphQL adapters that exposes the APIs over HTTP and uses certain data fetchers for deserialization and serialization of the data. Other libraries such as Bukkit, Spigot and BungeeCord are integrated with the plugins for seamless cloud based deployment. We follow rapid development using the agile development methodology producing solutions that are innovative and yet robust
ProgrammingRepresentational State Transfer (REST)Computer ScienceObject-Oriented Programming (OOP)

Computer society of india

Core Team

Sep 2017Nov 2018 · 1 yr 2 mos · New Delhi Area, India

Programming

Education

Indraprastha Institute of Information Technology, Delhi

Postgraduate Diploma in Data Science in Health and Climate Change for Social Impact — Artificial Intelligence and Data Science

Sep 2024Jun 2025

RMIT University

Bachelor's degree with Distinction — Computer Science

Jan 2019Dec 2021

Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech — Information Technology

Dec 2018Present

Oxford Senior Secondary School

Jan 2004Jan 2017

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