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sooby_senpai

Subodh Singh

@sooby_senpai

AI Engineer building AI Agents, RAG Chatbots, LLM Evals and Web Apps

Inde
Anglais, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
AI engineer with 2+ years of full-time experience building production AI for defense (DRDO projects) and robotics. I build AI agents, RAG chatbots, multi-agent workflows and full-stack LLM apps with Python, LangGraph, LangChain, FastAPI and Next.js. Shipped: XGBoost threat-detection models and a 5-agent operator console (DRDO), RegShield (open-source SDK that tests AI agents in CI), Quillwick (multi-agent research assistant), DataLens (AI Q&A over Excel/CSV) and live client websites. Clean, tested code, daily updates, on-time delivery. Message me first for a clear plan and quote.... Plus d’infos

Compétences

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sooby_senpai
Subodh Singh
hors ligne • 

Voir mes services

Intégrations IA
I will build a custom ai agent or rag chatbot with langchain and langgraph
Sites Web personnalisés
I will build a fast modern business website with next js and react

Portfolio

Expérience professionnelle

Clarice_Systems

Software Engineer (AI/ML)

Clarice Systems • Temps plein

Jun 2024 - Jun 2026 • 2 yrs

Built AI and full-stack software for DRDO defense projects, from ML models to the operator interface. • Built XGBoost threat-detection models that classify 1 Gbps binary data streams in real time • Built the operator console for a 5-agent AI system, showing each agent's state, tool calls and findings (React.js) • Integrated backend services, AI pipelines and frontends with Python, Node.js, React.js, MongoDB and Docker • Cut a slow query path from 12 s to under 3 s by reworking queries and indexes • Optimized Python desktop applications • Presented technical demos to DRDO teams in Delhi across 10+ visits and took part in architecture and design reviews

Ati_Motors

Data Engineer Intern

Ati Motors

Jan 2024 - Jun 2024 • 5 mos

Data and AI work on a live robotics platform used company-wide. • Helped build 'Robo Observatory', a real-time fleet-monitoring platform that turns raw robot sensor data into operational insights (Grafana, PostgreSQL) • Built a multimodal LLM knowledge assistant with RAG and Jira/Slack integrations for technical support (LangChain) • Optimized production database queries with better indexing, improving data-processing efficiency by 20% • Analyzed robot subsystem failures and battery wear to surface early-warning signals for predictive maintenance