Building autonomous AI systems that can reason, plan, act, and integrate with real-world tools.
I specialize in designing Agentic AI platforms, AI-powered security solutions, and scalable backend infrastructure that bridge the gap between large language models and production-grade software systems.
I'm passionate about building systems where AI goes beyond simple chat interfaces and becomes an active participant in solving real-world problems.
My work focuses on:
- 🤖 Multi-Agent AI Systems
- 🧠 LLM Application Architecture
- 🔒 AI Security & Compliance Automation
- ⚡ Backend Systems for AI Products
- ☁️ Cloud-Native AI Infrastructure
- 🔄 Agent Orchestration & Tool Use
- 📊 AI Observability & Evaluation
Currently building products at the intersection of:
- Agentic AI
- Cybersecurity
- Cloud Infrastructure
- Developer Productivity
AI-powered security audit agent designed to automate compliance and security assessments.
Core Capabilities
- Automated security audits
- Compliance evidence collection
- SOC 2 readiness analysis
- Cloud security posture evaluation
- AI-assisted risk assessment
- Continuous monitoring workflows
Historical strategy game exploring one of the most significant battles in Indian history.
Built using:
- Godot Engine
- AI-assisted workflows
- Procedural systems
- Narrative-driven gameplay
- Multi-Agent Architectures
- Tool Calling Systems
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- Agent Orchestration
- AI Workflows
- Memory Systems
- Autonomous Decision Making
- Large Language Models
- Prompt Engineering
- AI Evaluation Frameworks
- Fine-Tuning Concepts
- Vector Databases
- Semantic Search
- Embeddings
- AI Safety & Guardrails
- Distributed Systems
- Microservices
- API Design
- Event-Driven Architecture
- Performance Optimization
- Production Reliability
- Observability
- Database Design
- AWS
- Docker
- Linux
- CI/CD
- Infrastructure Automation
- Monitoring & Alerting
OpenAI • Claude • Gemini • Amazon Nova
LangChain • LangGraph • MCP
RAG • Vector Search • Prompt Engineering
Python • JavaScript • SQL • Go
Node.js • REST APIs • gRPC
Microservices • Distributed Systems
AWS • Docker • Linux
GitHub Actions • CI/CD
PostgreSQL • MySQL • MongoDB
Vector Databases
Building AI that can:
- Plan tasks
- Use tools
- Execute workflows
- Learn from context
- Collaborate with other agents
- Operate autonomously
Exploring:
- Secure AI architectures
- LLM threat modeling
- Prompt injection defenses
- AI governance
- Compliance automation
Interested in:
- Model serving
- Agent orchestration
- AI observability
- Context engineering
- Scalable inference systems
- Building production-ready AI agents
- Developing AI security products
- Experimenting with multi-agent workflows
- Exploring MCP ecosystems
- Creating autonomous business workflows
- Researching next-generation AI architectures
Currently studying:
- Advanced Agentic AI Patterns
- AWS AI Practitioner
- AI Security Engineering
- Distributed AI Systems
- LLMOps
- Cloud-Native AI Infrastructure
AI Security Audit Agent
Agentic AI + Security Compliance + Cloud Assessment
Machine learning system for detecting AI-generated content.
NLP • TF-IDF • Classification Models
GitHub: https://github.com/pallasite99/AI-comment-classifier
Production-focused distributed systems project.
Go • gRPC • Concurrency • Real-Time Communication
GitHub: https://github.com/pallasite99/gRPC-bidirectional-streaming-go
Software automation transformed workflows.
Agentic AI will transform decision-making.
The future belongs to systems that can reason, act, and continuously improve.
https://linkedin.com/in/salil-apte
https://github.com/pallasite99
I'm fascinated by two seemingly unrelated fields:
- Agentic AI Systems
- Maratha History
Both involve strategy, coordination, adaptation, and decision-making under uncertainty.