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seemantkaushal/README.md
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## 🧠 Who Am I?
seemant = {
    "role":      "Software Engineer @ Ascentt",
    "focus":     ["Agentic AI", "Backend Systems", "LLM Orchestration"],
    "stack":     ["LangGraph", "FastAPI", "PostgreSQL", "MCP"],
    "shipping":  "production, not demos",
    "thesis":    "M.Tech AI & Data Science β€” DAVV Indore",
    "fun_fact":  "1.8s β†’ 120ms and I lost sleep over it πŸ˜…",
}
Coding
  • πŸ”­ Building multi-agent AI workflows + MCP server layers @Ascentt
  • πŸš€ Founder of Haulnova β€” voice AI for Indian freight (live)
  • πŸŽ“ Integrated B.Tech + M.Tech Β· AI & Data Science Β· DAVV Indore
  • πŸ’‘ Obsessed with: latency, agent reliability, and clean schema design
  • πŸ“¬ Reach me: seemantkaushal04@gmail.com


πŸ’Ό Where I've Worked

🏒 Ascentt, Indore

Software Engineer Β· May 2025 – Present

FastAPI LangGraph PostgreSQL MCP

  • ⚑ P95 latency <90ms Β· 50+ concurrent users
  • πŸ” MCP server Β· ABAC + RLS Β· 8+ teams Β· 20+ scopes
  • πŸ€– LangGraph multi-agent Β· <4s response
  • πŸ“‘ SSE + WebSocket AI streaming

🏦 Protean eGov (NSDL), Pune

Data Analyst Intern Β· Jun – Aug 2024

Python PowerBI SQL Airflow

  • πŸ“Š 2M+ NPS records Β· daily ETL pipelines
  • πŸ“ˆ 15+ KPIs Β· 4 business units
  • 🎯 100+ SQL queries Β· CXO Power BI dashboard
  • πŸ”„ Subscriber + contribution + transaction tables

πŸš€ What I've Built

πŸš› Haulnova

Voice AI Β· Freight Negotiation

Status Stack

Days of negotiation β†’ minutes via voice AI agent running full counter-offer cycles over SIP trunk.

Sarvam STT/TTS Β· LiveKit Β· FastAPI Β· PostgreSQL

Sub-500ms voice turn latency in production.

πŸ” QueryAgent

NL β†’ SQL Β· Full CRUD

Status Stack

Natural language β†’ executable SQL for non-technical users. 5-agent pipeline with human-in-the-loop for destructive ops.

LangGraph Β· pgvector Β· FastAPI Β· PostgreSQL

Hard failure isolation between all 5 stages.

βš™οΈ Predictive Maintenance

CNC Failure Detection

Status Accuracy

Temporal Fusion Transformer on multivariate CNC sensor time-series. Fused time-varying + categorical data for early fault state detection.

TFT Β· PyTorch Β· Python Β· Time-Series

92% failure detection accuracy.


πŸ› οΈ Tech Arsenal

⚑ Core Stack

Python FastAPI PostgreSQL React JavaScript

πŸ€– AI / ML

LangChain HuggingFace PyTorch SQLAlchemy

☁️ Cloud & DevOps

AWS Docker Airflow Git MySQL


πŸ“Š GitHub Stats

GitHub Streak


πŸ† LeetCode & Badges

Leetcode Stats

LeetCode Badges

Holopin Badges


πŸ“ˆ Contribution Activity

Activity Graph


Built with obsession over latency, clean agents, and things that actually ship. ⚑

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