Prateek Shukla profile photo 1 on Tal

Prateek Shukla

Distributed Fault-Tolerant Engineering | Backend Engineer @Wysa | Mentorship & Guidance

Bengaluru

2+ years of work experience

Wysa
May 20264 mosPresent

Remote

Tata Consultancy Services
Jun 20231 yr 9 mosFeb 2025

Bengaluru, Karnataka, India

# Enhanced backend system stability by over 15% by proactively diagnosing and resolving critical bugs in a high-traffic ExpressJS and MySQL environment. # Developed and maintained core ExpressJS REST APIs, successfully handling over 1M daily requests and ensuring seamless data flow from a MySQL database. # Maintained 99% SLA compliance for a critical microservice by efficiently resolving complex bugs in a Spring WebFlux and MongoDB stack.
Indian Institute of Technology, Kanpur
Apr 20203 mosJun 2020

Lucknow, Uttar Pradesh, India (Virtual Internship)

Completed internship at IIT KANPUR, under the Summer Training Program for ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS. We were taught C++, Python and it's various libraries like Numpy, Pandas, Matplotlib, Scikit-learn and Keras. Worked on MNIST and IRIS dataset to gain insights and built classification models. I implemented various Exploratory Data Analysis techniques such as Univariate analysis using statistical measures and probability distributions, Multivariate analysis using correlation analysis and principal components analysis. I also researched about and built various Machine Learning models like Multiple Linear Regression, Multi-class Classification, Support Vector Machines, various Deep Neural Networks like Artificial Neural Networks, Convolution Neural Networks and Recurrent Neural Networks. I also built an Image Recognition CNN model with 92% accuracy. Score-: Quiz 1-: 100% Quiz 2-: 100% Quiz 3-: 100% Quiz 4-: 100% Quiz 5-: 100% Quiz 6-: 100% Quiz 7-: 100% Link to all quiz files -: https://github.com/Intangible-pg18/IITK-ML-Internship
GitHub
@Intangible-pg18
Medium
@iamprateek999

Prateek’s AI Stack

claude code
claude code
grok
grok
hugging face
hugging face
langchain
langchain
langsmith
langsmith
mcp
mcp

Education

SRM IST Chennai

Bachelor of Technology - BTech, Electronics and Computer Engineering

SRM IST Chennai

20194 yrs2023

Machine Learning

Amazon Machine Learning Summer School

20222022

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Headline

Distributed Fault-Tolerant Engineering | Backend Engineer @Wysa | Mentorship & Guidance

About

I'm a backend developer with a strong understanding of backend engineering concepts and a passion for solving complex problems. My experience includes working with Node.js, React.js, Typescript, Golang, LangChain, LangGraph, Langsmith, RAG pipelines, MCP servers, Rest/Graphql/RPC APIs, WebSockets, WebRTC, PostgreSQL, MongoDB, Redis and various AWS services. I focus on delivering high-quality solutions with attention to detail. I'm committed to staying up-to-date with the latest technologies in software engineering and AI. I thrive in fast-paced environments and am dedicated to exceeding expectations on every project.

Location

Bengaluru

AI stack

claude code

grok

hugging face

langchain

langsmith

mcp

Work experience

Backend Developer at Wysa, May 2026 - Present · 4 mos, Remote

System Engineer at Tata Consultancy Services, Jun 2023 - Feb 2025 · 1 yr 9 mos, Bengaluru, Karnataka, India, # Enhanced backend system stability by over 15% by proactively diagnosing and resolving critical bugs in a high-traffic ExpressJS and MySQL environment. # Developed and maintained core ExpressJS REST APIs, successfully handling over 1M daily requests and ensuring seamless data flow from a MySQL database. # Maintained 99% SLA compliance for a critical microservice by efficiently resolving complex bugs in a Spring WebFlux and MongoDB stack.

Artificial Intelligence Intern at Indian Institute of Technology, Kanpur, Apr 2020 - Jun 2020 · 3 mos, Lucknow, Uttar Pradesh, India (Virtual Internship), Completed internship at IIT KANPUR, under the Summer Training Program for ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS. We were taught C++, Python and it's various libraries like Numpy, Pandas, Matplotlib, Scikit-learn and Keras. Worked on MNIST and IRIS dataset to gain insights and built classification models. I implemented various Exploratory Data Analysis techniques such as Univariate analysis using statistical measures and probability distributions, Multivariate analysis using correlation analysis and principal components analysis. I also researched about and built various Machine Learning models like Multiple Linear Regression, Multi-class Classification, Support Vector Machines, various Deep Neural Networks like Artificial Neural Networks, Convolution Neural Networks and Recurrent Neural Networks. I also built an Image Recognition CNN model with 92% accuracy. Score-: Quiz 1-: 100% Quiz 2-: 100% Quiz 3-: 100% Quiz 4-: 100% Quiz 5-: 100% Quiz 6-: 100% Quiz 7-: 100% Link to all quiz files -: https://github.com/Intangible-pg18/IITK-ML-Internship

Education

Bachelor of Technology - BTech, Electronics and Computer Engineering, SRM IST Chennai

Machine Learning, Amazon Machine Learning Summer School

Public links

github: https://github.com/Intangible-pg18

medium: https://medium.com/@iamprateek999