Available for opportunities

Mohd
Anas Mohd Anas, IIT Jammu

Building scalable backend systems & LLM-powered workflows
that automate operations and reduce enterprise costs.

View Experience Contact Me Download CV
2+ Years Exp.
95% Latency Reduced
40% Support Automated
35% Token Reduction
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01 / About
Mohd Anas — Backend & AI Engineer
Open to work

Building systems that
think for themselves.

I'm a Backend & AI Automation Engineer who graduated from IIT Jammu (CGPA 8.39) and now works at Teradata, where I architect AI-driven workflows that replace manual enterprise operations with natural language commands.

My work sits at the intersection of robust distributed systems and modern LLM tooling — engineering RAG-based services, agentic pipelines, and intelligent automation layers that convert enterprise friction into natural language-driven workflows.

I care about systems that are fast, reliable, and intelligent — not just functional.

mohdanas9595@gmail.com github.com/Anxs-11 LinkedIn

AI & Orchestration

RAG pipelines, LangChain agents, MCP workflows, semantic search, and Text-to-SQL engines.

Backend Engineering

FastAPI, Node.js/Express, REST APIs, async task processing, and distributed system design.

DevOps & Infrastructure

CI/CD pipelines, GitHub Actions, Jenkins, Playwright testing, and cloud infrastructure automation.

Data & Databases

MongoDB, MySQL, Redis caching, query optimization, and delta-update processing patterns.

02 / Skills

Technical Stack

AI & Orchestration

LLMs LangChain LangGraph RAG Embeddings MCP Semantic Search Tree-sitter AST
LangChain / LangGraph
92%
RAG / Embeddings
91%

Backend Engineering

Python (FastAPI) Node.js REST APIs System Design
Python / FastAPI
95%
Node.js / Express
85%

DevOps & Infrastructure

Docker Kubernetes GitHub Actions Jenkins CI/CD Playwright Azure
Docker / Kubernetes
88%
CI/CD Pipelines
90%

Data & Databases

PostgreSQL pgvector MongoDB Redis MySQL
PostgreSQL / pgvector
90%
Redis Caching
85%
03 / Experience

Work History

Teradata

Software Engineer

Jul 2024 — Present
  • ARC (Autonomous Remediation Code-fix) Agent — Designed an autonomous remediation system that ingests Jira tickets, builds AST-based dependency graphs via Tree-sitter, and generates context-aware code fixes using tiered LLM prompting (structural neighbors + ephemeral RAG). Building toward a fully autonomous ticket-to-merge pipeline with iterative test validation and self-healing before auto-merge.
  • Architected an AI-driven ticket deflection system using LangChain, embeddings & MCP — automated 40% of support volume, saving 15+ engineering hours/week.
  • Engineered a Text-to-SQL Engine with schema chunking & prompt optimization, reducing LLM token consumption by 35% while increasing accuracy on complex multi-table joins.
  • Built Autonomous AI Agents integrated with Jira & Confluence APIs, deployed via Slack & Microsoft Teams for natural language enterprise operations.
  • Re-engineered Backend Provisioning Workflows with task isolation & parallel execution — cloud setup time from 60s → 15s (75% faster).
  • Optimized Approval Pipelines with delta-update processing — end-to-end latency from 40 minutes → <2 minutes (95% reduction).
  • Productionized GitHub Actions image creation pipelines, ensuring 99.9% consistency across all development environments.
LangChain Python MCP RAG FastAPI GitHub Actions Jira API

Nexyom

AI Engineer (Contract)

2026 — Present
  • Architecting AI Migration Studio, an agentic platform using LangGraph to automate data migration across different platform dialects — currently focused on Cherwell → ServiceNow incident ticket migration.
  • Designing a pluggable adapter architecture supporting multiple source/target systems (PostgreSQL → Snowflake, Teradata adapters planned), with a hybrid deterministic + LLM approach for reliable field mapping.
  • Building a real-time agent dashboard in Next.js 14 streaming live agent reasoning traces via WebSocket for stakeholder transparency.
LangGraph Next.js FastAPI sqlglot ServiceNow Docker

Teradata

Software Engineer Intern

Jan 2024 — Jun 2024
  • Built Python-based data extraction tools to automate PDF-to-Excel workflow validation, cutting manual audit effort by 80%.
  • Developed early-stage backend chatbot logic, facilitating the transition from POC to production-ready system.
Python Data Extraction Chatbot Backend

Fusion Technologies

Software Engineer Intern

Sep 2023 — Dec 2023
  • Improved API performance by 40% through Redis caching layers and query indexing for high-traffic endpoints.
  • Built automated security testing frameworks to identify and mitigate vulnerabilities in web applications (DVWA, Juice-Shop).
Redis Node.js Security Testing API Optimization

B.Tech Computer Science — IIT Jammu

Nov 2020 – Oct 2024  ·  CGPA 8.39/10  ·  JEE Mains 99.45 percentile (top 6,000 / 1M+ candidates)

04 / Projects

Featured Work

Internal · Teradata · In Progress

ARC (Autonomous Remediation Code-fix) Agent

An autonomous agent that takes a Jira ticket as input and produces a merged, tested PR as output — zero human intervention. Closes the entire loop: ticket ingestion → root cause analysis → AST-based code understanding → tiered context assembly → LLM fix generation → PR creation → CI test validation → auto-merge. Evolution of the AEA project, built for production at Teradata.

700+ file repos parsed in <30s ~60% token reduction via tiered context Self-healing CI retry loop
LangChain LangGraph Tree-sitter pgvector FastAPI Docker Kubernetes GitHub API
Nexyom · In Progress

AI Migration Studio — Agentic Migration Platform

An AI-powered platform that orchestrates specialized LLM agents via LangGraph to automate end-to-end data migration across different platform dialects. Currently focused on Cherwell → ServiceNow incident ticket migration, with a pluggable adapter architecture for additional source/target systems like PostgreSQL → Snowflake and Teradata.

Multi-agent pipeline Multi-dialect adapters Hybrid deterministic + LLM Real-time agent dashboard
LangGraph Next.js 14 FastAPI sqlglot WebSocket Docker ServiceNow API
Personal · Completed

Autonomous Engineering Agent — AEA

An AI system that reads Jira tickets and autonomously writes code and opens GitHub Pull Requests — zero human intervention. Uses a two-pass Claude approach: first identifies relevant files from the repo tree, then reads them in full for accurate, context-aware code generation tailored to the existing codebase style.

Zero human code written Jira ticket → GitHub PR Two-pass AI generation Multi-repo via Jira labels
FastAPI Claude (Anthropic) GitHub REST API Jira REST API SQLite + SQLAlchemy ChromaDB Python 3.14
Internal · Teradata

AI Ticket Deflection System

LLM-powered support automation that classifies requests into self-service vs admin workflows. Eliminates duplicate tickets and delivers AI-resolved answers directly to users via Slack.

40% support automated 15+ hrs/week saved
LangChain MCP Python Embeddings
Internal · Teradata

Text-to-SQL Engine

Schema chunking & prompt optimization engine that converts natural language queries to accurate SQL. Handles complex multi-table joins with 35% lower token usage than baseline.

35% token reduction Higher accuracy
Python LLM SQL Prompt Engineering
Internal · Teradata

Autonomous Enterprise AI Agents

AI agents integrated with Jira & Confluence APIs, deployed via Slack and Teams. Replace manual enterprise operations with natural language commands — zero context switching.

NL enterprise ops Jira + Confluence
LangChain Jira API MS Teams FastAPI
Internal · Teradata

Enterprise CI/CD & Monitoring

Automated Jenkins pipelines for token renewal, API sync, and stale-data alerts. Daily Playwright test suite with database-backed reporting — full system health visibility.

6+ hrs/week saved 99.9% consistency
Jenkins Playwright GitHub Actions Python
Internal · Teradata

Tempo Workload Sync Engine

Backend service for automatic workload schema synchronization with LOA data. Includes duplicate detection, rollback logic, and daily audit trails for enterprise resource tracking.

100% data accuracy Auto rollback
Python MongoDB REST API Audit Logs
Internal · Teradata

Backend Provisioning Optimizer

Re-engineered cloud provisioning workflows using task isolation and parallel execution, dramatically reducing setup time for development environments.

75% faster setup 60s → 15s
Python Azure Async System Design
05 / Contact

Let's Work Together

Have an interesting problem to solve or a role I'd be a fit for? I'm always open to new conversations.

Email mohdanas9595@gmail.com
LinkedIn mohd-anas-a5b149202
GitHub github.com/Anxs-11
Phone +91 7534024294