Mrityunjay Kumar Dwivedi profile photo 1 on Tal

Mrityunjay Kumar Dwivedi

Software Engineer | Backend & AI/LLM | Cloud & Distributed Systems | Building MRSH

India

2+ years of work experience

MRSH
Feb 20267 mosPresent

Remote

• Building MRSH, an AI-powered FinTech platform for global freelancers. • Developing invoicing, cross-border payments, and AI-powered collections. • Targeting the $120B+ global freelancer payments and financial services market. • Building toward faster, lower-cost payments for the 1.6B+ global freelancer economy.
LALAND MARKETING & COMMUNICATION LTD
Dec 20241 yr 2 mosJan 2026

United Kingdom

• Designed and deployed scalable microservices on Azure Kubernetes Service (AKS) using FastAPI, improving API response times by 40%. • Optimized distributed-system performance by tuning PostgreSQL queries and Redis workloads, reducing execution time by 30% and improving database efficiency. • Implemented Prometheus and Grafana for real-time monitoring and observability, improving production visibility and reducing the risk of prolonged downtime. • Automated tenant screening and property management workflows, reducing manual operational workload by 70% and improving process efficiency. • Developed smart contract-based rental agreements to improve transaction transparency, automate agreement execution, and reduce potential disputes.
Aho Security Labs
May 20246 mosOct 2024

Singapore

• Enhanced REST API performance (200ms → 80ms) through backend optimization and .NET Core improvements. • Automated CI/CD pipelines using Git and Docker, reducing deployment time by 60% and improving release velocity. • Integrated SignalR for real-time communication, improving reliability and UX. • Tuned database queries for high availability and cost efficiency. • Developed microservice architecture enabling scalability and maintainability across product modules.
AICTE NEAT
Jan 20243 mosMar 2024

India

My internship report will consist of background, project details, and general impressions. I benefited from the internship, gaining practical exposure and skill development, of students and non-students. I gain hands-on experience in architecture, engineering, and healthcare. This experience has been invaluable, and I'm grateful for the opportunity to apply my skills and knowledge in a real-world setting.
Goldman Sachs
Aug 20232 mosSep 2023

India

I improved password security using Python by implementing secure hashing algorithms like bcrypt and Argon2, analyzing password strength and vulnerabilities with Pandas and NumPy, and developing machine learning models to predict password cracking duration. I also automated security protocols using AWS and Docker and created APIs for secure authentication in financial systems, ensuring strong password security to protect sensitive information.
GitHub
@Maaady
GitHub
@Maaady

Mrityunjay’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
github copilot
github copilot
openai
openai

Education

Delhi University

Bachelor of Science, Computer Science

Delhi University

Galgotias university

Master of Computer Applications, Computer Science

Galgotias university

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Headline

Software Engineer | Backend & AI/LLM | Cloud & Distributed Systems | Building MRSH

About

• Software Engineer specializing in Backend Engineering, Distributed Systems, AI/LLM applications, and Cloud Infrastructure. Experienced with Python, FastAPI, Go, Kubernetes, AWS/Azure, PostgreSQL, Redis, Docker, and OpenAI APIs. • Improved API performance by 40%, reduced database execution time by 30%, reduced deployment time by 60%, and reduced manual operational effort by 70% through scalable backend systems, optimization, and automation. • Currently building MRSH, an AI-powered FinTech platform, while exploring opportunities in Backend Engineering, Software Engineering, AI/LLM Engineering, Forward Deployed Engineering, and Platform/Cloud Engineering.

Location

India

AI stack

antigravity

claude code

claude

cursor

github copilot

openai

Work experience

Founder at MRSH, Feb 2026 - Present · 7 mos, Remote, • Building MRSH, an AI-powered FinTech platform for global freelancers. • Developing invoicing, cross-border payments, and AI-powered collections. • Targeting the $120B+ global freelancer payments and financial services market. • Building toward faster, lower-cost payments for the 1.6B+ global freelancer economy.

Software Development Enginer at LALAND MARKETING & COMMUNICATION LTD, Dec 2024 - Jan 2026 · 1 yr 2 mos, United Kingdom, • Designed and deployed scalable microservices on Azure Kubernetes Service (AKS) using FastAPI, improving API response times by 40%. • Optimized distributed-system performance by tuning PostgreSQL queries and Redis workloads, reducing execution time by 30% and improving database efficiency. • Implemented Prometheus and Grafana for real-time monitoring and observability, improving production visibility and reducing the risk of prolonged downtime. • Automated tenant screening and property management workflows, reducing manual operational workload by 70% and improving process efficiency. • Developed smart contract-based rental agreements to improve transaction transparency, automate agreement execution, and reduce potential disputes.

Associate Software Engineer at Aho Security Labs, May 2024 - Oct 2024 · 6 mos, Singapore, • Enhanced REST API performance (200ms → 80ms) through backend optimization and .NET Core improvements. • Automated CI/CD pipelines using Git and Docker, reducing deployment time by 60% and improving release velocity. • Integrated SignalR for real-time communication, improving reliability and UX. • Tuned database queries for high availability and cost efficiency. • Developed microservice architecture enabling scalability and maintainability across product modules.

Artificial Intelligence Intern at AICTE NEAT, Jan 2024 - Mar 2024 · 3 mos, India, My internship report will consist of background, project details, and general impressions. I benefited from the internship, gaining practical exposure and skill development, of students and non-students. I gain hands-on experience in architecture, engineering, and healthcare. This experience has been invaluable, and I'm grateful for the opportunity to apply my skills and knowledge in a real-world setting.

SDE intern at Goldman Sachs, Aug 2023 - Sep 2023 · 2 mos, India, I improved password security using Python by implementing secure hashing algorithms like bcrypt and Argon2, analyzing password strength and vulnerabilities with Pandas and NumPy, and developing machine learning models to predict password cracking duration. I also automated security protocols using AWS and Docker and created APIs for secure authentication in financial systems, ensuring strong password security to protect sensitive information.

Education

Bachelor of Science, Computer Science, Delhi University

Master of Computer Applications, Computer Science, Galgotias university

Public links

github: https://github.com/Maaady

github: https://github.com/Maaady