I build AI agentsand the cloud they run on.
Software engineer on enterprise AI at Ascendion. 70 credentials. The terminal below works.
aava / graph.py
Explorer
aava
graph.pyM
agents
knowledge_graph
infra
main.tf
deploy.yaml
Dockerfile
.github
ci.yml
# simplified sketch of the AAVA triage graph
from langgraph.graph import StateGraph, END
agents = ["router", "retriever", "analyst", "coder", "reviewer"]
graph = StateGraph(Ticket)
for name in agents:
graph.add_node(name, agent(name))
graph.set_entry_point("router")
for a, b in zip(agents, agents[1:]):
graph.add_edge(a, b)
graph.add_edge("reviewer", END)
app = graph.compile()AAVA, the agent pipeline I work on at Ascendion
00 / 06
A ticket comes in
Triage by hand took about 45 minutes per ticket.
code knowledge graph
What I ship with
request flows left to right
Interface01
Agents02
Data03
Cloud04
Ship05
The AI I work with
Models, coding agents and creative tools I use every week, for client work and my own products.
39 tools in total
The LLMs behind my agents and products.
Mobile apps for iOS and Android

Shree Siddhivinayak Classes
Mobile developer · iOS and Android
Learning app for iOS and Android: courses, PDFs, practice tests and score tracking, with single-use signup codes so paid content isn't shared.
React Native · Supabase · iOS · Android
Career, as a git log
decorative pattern, not real activity
$ git log --graph --oneline
70 credentials, one square each
Claude Certified Architect
Professional
Generative AI Developer
AWS Professional
AZ-305
Solutions Architect Expert
AZ-400
DevOps Engineer Expert
SC-100
Cybersecurity Architect
Agentic AI Developer
GitHub
Redis Cloud Operator
Redis
Neo4j Certified
Professional
1,980 practice questions, coming to Udemy
$ npm run practice-tests
5 passed · 1,980 questions · status: coming to Udemy
Two ways to work together
For teams
AWS Cloud Practitioner, in 6 days
Corporate training in Bengaluru or online.
$ hire yatharth
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