Building the next generation of intelligent <>
AI Full Stack Developer who ships production apps powered by RAG pipelines, multi-agent systems, and LLM orchestration. Comfortable from Postgres + pgvector up to a React frontend with streaming responses. Currently building autonomous tools.
01 // terminal_demo.sh
02 // production_builds
E-Commerce Web Application
Full-stack shopping platform with Razorpay payment integration, bcrypt + OTP 2FA auth, 9-table normalized MySQL schema, and AWS infra (VPC, EC2, S3, RDS) managed via Terraform.
IoT Electricity Monitor
Real-time power consumption tracking via IoT sensors + cloud storage across multiple endpoints.
Cloud Honeypot IDS
Honeypot-based intrusion detection on cloud infra with attacker pattern analysis and threat intelligence.
Hospital Slot Scheduler
Dual-role Doctor/Patient booking with Razorpay gateway and auto-cleanup of expired slots.
Secure Notes Manager
Flask CRUD app with OTP-based 2FA, bcrypt auth, and per-user data isolation at query level.
03 // neural_profile
Half builder, half scientist.
I design and implement autonomous pipelines that think in loops. My code bridges the gap between raw research and high-performance, real-time user experiences.
Obsessed with context window limits, vector embedding clusters, and reducing time-to-first-token. I build systems that don't just respond, but reason.
Currently working at the intersection of developer tooling and cognitive frameworks, developing agent workflows that interact seamlessly with modern databases.
- Name Akash Belide
- Primary Role AI Full Stack Developer
- Location Hyderabad, India
- Academic Focus CS & Cognitive Systems
- Core Interest Multi-Agent Orchs & RAG
- Availability Open to Work
04 // system_dependency_matrix
Languages
AI / ML
Frontend
Backend / Infra
05 // career_logs
AI Engineer
Pioneered multi-agent task runners using LangGraph, reducing graph execution routing logic latency by 35%. Developed custom context routing scripts feeding clean document tokens to Claude models. Designed dynamic chunking indexing logic utilizing FastAPI and pgvector to scale cognitive workflows across multi-tenant environments.
Full Stack Engineer
Integrated real-time streaming chatbot user interfaces with React and Vercel AI SDK. Architected low-latency caching models for active chat states on top of Redis. Engineered robust subscription checkouts using Stripe, managing vector space utilization limits inside Pinecone to decrease cost profiles.
Research Intern
Finetuned base transformers (Llama, Mistral) using QLoRA adapters on narrow clinical domain tasks. Standardized data pipelines converting unstructured logs into structured training sets. Logged hyperparameter sweeps using weights & biases to minimize learning rate anomalies.