u/Living_Ad7885

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Pre-final year CS (AI & ML) student, graduating 2027, actively looking for full-time AI Engineer / Agentic Systems / Backend roles. Minimum take-home expectation: ₹1L/month.

What I've actually shipped (not tutorial projects — production systems):

→ Real-time Voice AI Agent at Azmth — Twilio ingests calls → Whisper STT transcribes streams → LangChain agent routes intent → TTS synthesises response, all under 800ms end-to-end. Redis-backed conversation memory + CRM sync on every call. Deployed on GCP Cloud Run with auto-scaling.

→ Multi-Agent Content Pipeline at AutoPilotX — supervisor agent orchestrating 4 specialised sub-agents (research, drafting, fact-check, publish) via LangChain AgentExecutor. Cut content turnaround from 4 hours to 45 minutes. Handles 50+ pieces/week autonomously for a creator client.

→ RAG Knowledge Assistant (production SaaS) — 500+ pages of client docs ingested into FAISS with OpenAI embeddings + BM25 hybrid retrieval. FastAPI streaming backend + Next.js chat UI with auth and source citations. Reduced support ticket volume by \~35%.

→ Agentic Workflow Automation — reusable n8n pipelines connecting CRM → GPT-4o enrichment → email sequencing → Slack alerts, deployed for 3 startups. Reduced manual ops time by \~60%.

→ Cloud-Native Microservices Backend at Erostn — Go + Gin REST API on Kubernetes (Docker/Helm/Terraform), with async LLM summarisation layer. Goroutine-level perf tuning cut API latency by \~20%.

Stack: Python · FastAPI · LangChain · OpenAI API · FAISS · ChromaDB · Go · PostgreSQL · Redis · n8n · Docker · Kubernetes · Terraform · GCP · AWS · Next.js

Oracle OCI certified across DevOps, Data Science, AI Foundations, and Architecture. Also hold Azure AI Foundry and IBM Big Data Engineer certs.

I'm not a typical fresher with GitHub toy projects. I design and ship end-to-end systems that run in production. If your team is building in AI and needs someone who can own it — DM me or drop a comment.

Open to: AI Engineer · ML Engineer · Backend Engineer · AI Automation Engineer · Agentic Systems . Fulltstack Engineer

\#OpenToWork #AIEngineer #LLM #LangChain #AgenticAI #RAG #Python #FastAPI #Hiring

Pre-final year CS (AI & ML) student, graduating 2027, actively looking for full-time AI Engineer / Agentic Systems / Backend roles. Minimum take-home expectation: ₹1L/month.

What I've actually shipped (not tutorial projects — production systems):

→ Real-time Voice AI Agent at Azmth — Twilio ingests calls → Whisper STT transcribes streams → LangChain agent routes intent → TTS synthesises response, all under 800ms end-to-end. Redis-backed conversation memory + CRM sync on every call. Deployed on GCP Cloud Run with auto-scaling.

→ Multi-Agent Content Pipeline at AutoPilotX — supervisor agent orchestrating 4 specialised sub-agents (research, drafting, fact-check, publish) via LangChain AgentExecutor. Cut content turnaround from 4 hours to 45 minutes. Handles 50+ pieces/week autonomously for a creator client.

→ RAG Knowledge Assistant (production SaaS) — 500+ pages of client docs ingested into FAISS with OpenAI embeddings + BM25 hybrid retrieval. FastAPI streaming backend + Next.js chat UI with auth and source citations. Reduced support ticket volume by ~35%.

→ Agentic Workflow Automation — reusable n8n pipelines connecting CRM → GPT-4o enrichment → email sequencing → Slack alerts, deployed for 3 startups. Reduced manual ops time by ~60%.

→ Cloud-Native Microservices Backend at Erostn — Go + Gin REST API on Kubernetes (Docker/Helm/Terraform), with async LLM summarisation layer. Goroutine-level perf tuning cut API latency by ~20%.

Stack: Python · FastAPI · LangChain · OpenAI API · FAISS · ChromaDB · Go · PostgreSQL · Redis · n8n · Docker · Kubernetes · Terraform · GCP · AWS · Next.js

Oracle OCI certified across DevOps, Data Science, AI Foundations, and Architecture. Also hold Azure AI Foundry and IBM Big Data Engineer certs.

I'm not a typical fresher with GitHub toy projects. I design and ship end-to-end systems that run in production. If your team is building in AI and needs someone who can own it — DM me or drop a comment.

Open to: AI Engineer · ML Engineer · Backend Engineer · AI Automation Engineer · Agentic Systems . Fulltstack Engineer

#OpenToWork #AIEngineer #LLM #LangChain #AgenticAI #RAG #Python #FastAPI #Hiring

I am loooking for a job , freelance anything :-  I've already been shipping production-grade AI systems. currently work as an applied AI engineer . My hands-on work spans LangChain RAG pipelines, LLM fine-tuning, FastAPI inference endpoints, and Kubernetes-deployed microservices, with devops in multi cloud migration architect,
I have been making fullstack apps ,with springboot ,kotlin etc ,websites etc

I've reduced hallucination rates ~30% on RAG pipelines and cut API latency by ~53% in production. I bring that same rigour to whatever I work on. in short i am fulll package in one