Applied AI engineering
AI Systems & Python Backend Builder
Computer Science engineer building agentic AI systems, retrieval workflows, and automation-heavy Python backends.
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Live industry role
Python intern shipping data workflows, backend utilities, and applied GenAI systems.
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Selected systems
Agentic AI, security automation, and REST API projects presented as product-quality work.
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Credentials
AI, cloud, Python, and ethical hacking certifications that support the technical direction.
Selected work
The resume’s clearest edge is technical composition: agents, retrieval, API boundaries, crawling, and data tooling. The work below is ordered by signal strength.
A multi-agent system with planning and execution layers, retrieval grounding, and model-assisted workflows for complex task handling.
Brings together LLM orchestration, vector search, MCP communication, and FastAPI into a serious AI engineering project.
An automated search and recursive link extraction tool for advanced query workflows and web data discovery.
Shows Ajay’s ethical hacking interest through practical automation, dynamic requests, Selenium, and structured extraction.
A FastAPI REST service for managing student records with clean CRUD endpoints and Pydantic request/response models.
Demonstrates backend fundamentals: structured API design, database interaction, validation, and maintainable service boundaries.
Technical depth
The portfolio avoids scattering every tool equally. Ajay’s technical brand is more credible when the stack is framed as a connected operating system.
Builds LLM applications that use retrieval, vector embeddings, tool calling, and modular workflows instead of simple prompt wrappers.
Comfortable with async Python, FastAPI, REST services, data processing pipelines, and practical backend workflows.
Uses Pandas, NumPy, scikit-learn, visualization, scraping, and automation to move from raw data to useful signals.
Pairs AWS fundamentals with ethical hacking curiosity, creating a broader engineering lens for AI and automation work.
Current work
The internship is presented as the bridge between coursework and product-facing engineering: async Python, data analysis, RAG, and AI-agent workflows.
Jan 2026 - Present
Asset Telematics Pvt Ltd
Working across Python applications, data analysis, backend workflows, and Generative AI systems.
Formation
Education and credentials are kept compact so the site stays focused on capability, while still giving recruiters the required academic context.
Shridevi Institute of Engineering and Technology, Tumkur
2022 - 2026 expected · CGPA 7/10 up to 7th semester
Sri Chaitanya PU College
2020 - 2022 · 74%
Sri Chaitanya Techno School
2019 - 2020 · 82%
Certifications
Available for technical conversations
Best fit: Python backend roles, AI engineering internships, agentic workflow prototypes, RAG applications, and automation-heavy product work.