Krishna Maurya profile photo 1 on Tal

Krishna Maurya

Full Stack Dev | AI Integration & Automation | Dev-OPS

Bengaluru

< 1 year of work experience

Apex One Studio
Jul 20261 moAug 2026

Hybrid

Apex One Studio
Mar 20264 mosJun 2026

Bengaluru

• Developed AI-powered applications using Python and modern AI frameworks. • Integrated LLMs, third-party AI APIs, and intelligent automation solutions into production environments. • Designed and optimized prompts to improve AI performance, accuracy, and user experience. • Built scalable AI workflows and backend integrations to support business and product requirements. • Collaborated with development teams to deliver AI-driven features and solutions.
Capvalis
Nov 20254 mosFeb 2026

Bangalore Urban

Built a full-stack algorithmic trading application to enable automated trade execution with controlled risk exposure by integrating a Risk Management System (RMS), using Python-based trading algorithms and backend services to enforce margin checks, exposure limits, and order validation before execution. Developed and optimized trading strategies to improve decision accuracy and execution efficiency by applying algorithm design and data analysis techniques, leveraging historical market data, performance metrics, and statistical validation to refine entry/exit logic and reduce risk. Designed scalable backend workflows and real-time monitoring capabilities to ensure low-latency trade processing and reliable system performance by implementing efficient data pipelines, structured logging, and analytical dashboards powered by Python and database-driven trade analytics.

Krishna’s AI Stack

antigravity
antigravity
claude code
claude code
gemini
gemini
mcp
mcp
openai
openai
ChatGPT
ChatGPT

Education

Jain (Deemed-to-be University)

Jain (Deemed-to-be University)

20222 yrs2024

Join Krishna and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Krishna Maurya on Tal

Headline

Full Stack Dev | AI Integration & Automation | Dev-OPS

About

I started developing systems early from Discord bots to full-fledged systems finding a unique strength in bringing ideas to life in functional systems. Right now, my focus lies in developing systems based on full-stack and agentic AI integration — making applications which are functional and tool-based, agentic and scalable. Throughout my career, I have developed backend-focused systems using Python and Express and complex automation systems, and in this process, I have accumulated significant experience in: • RESTful API and Systems Design • User authentication, sessions, and user management and security • Backend systems architectures and microservices mindset • AI and agent-based automation, orchestration, and tool calling • Real-time systems and event-driven architecture • Cloud systems and architecture for deployment (AWS, Azure) • Networking and tunneling protocols on Linux systems I also work across the frontend and tooling layer when needed using React and systems built with tools like Docker, n8n, Tailscale, ngrok, Git, and Figma to complete and deploy full product experiences. Right now, my goal is to become a fully independent agentic AI developer with full-stack capabilities.

Location

Bengaluru

AI stack

antigravity

claude code

gemini

mcp

openai

ChatGPT

Work experience

Senior AI Engineer at Apex One Studio, Jul 2026 - Aug 2026 · 1 mo, Hybrid

AI Engineer at Apex One Studio, Mar 2026 - Jun 2026 · 4 mos, Bengaluru, • Developed AI-powered applications using Python and modern AI frameworks. • Integrated LLMs, third-party AI APIs, and intelligent automation solutions into production environments. • Designed and optimized prompts to improve AI performance, accuracy, and user experience. • Built scalable AI workflows and backend integrations to support business and product requirements. • Collaborated with development teams to deliver AI-driven features and solutions.

Full Stack Engineer at Capvalis, Nov 2025 - Feb 2026 · 4 mos, Bangalore Urban, Built a full-stack algorithmic trading application to enable automated trade execution with controlled risk exposure by integrating a Risk Management System (RMS), using Python-based trading algorithms and backend services to enforce margin checks, exposure limits, and order validation before execution. Developed and optimized trading strategies to improve decision accuracy and execution efficiency by applying algorithm design and data analysis techniques, leveraging historical market data, performance metrics, and statistical validation to refine entry/exit logic and reduce risk. Designed scalable backend workflows and real-time monitoring capabilities to ensure low-latency trade processing and reliable system performance by implementing efficient data pipelines, structured logging, and analytical dashboards powered by Python and database-driven trade analytics.

Education

Jain (Deemed-to-be University)

Public links

github: https://github.com/Krishna8971

krishnaacodes.me: https://krishnaacodes.me/