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AI Engineer with 2+ years in Agentic AI & Advanced RAG Systems
AI/ML Engineer with 2+ years of experience designing and deploying production-grade Agentic AI systems and Advanced RAG pipelines using LangGraph, LangChain, and Model Context Protocol (MCP). Built multi-agent architectures across Claude, GPT, Gemini, Llama, and Mistral, including a 40K-document structure-aware RAG system with hybrid retrieval and a self-hosted open-source LLM pipeline (Ollama on EC2) for privacy-constrained environments. Skilled in LLM evaluation (RAGAS, DeepEval, Langfuse), Vector Databases (Qdrant), and containerized deployment (Docker, Kubernetes). Background in classical Machine Learning (unsupervised clustering, time-series analysis). Holds the Claude Certified Architect - Foundation (CCA-F) credential from Anthropic. Delivered measurable enterprise impact - cutting multi-day manual planning to minutes, reducing MTTR by 40%, and reducing engineer effort by 60%.
Medicaps University
B.Tech · Computer Science & Engineering
August 1, 2020 – June 30, 2024
Ksolves India Limited
Software Engineer - AI/ML
January 1, 2024 – Present
Indore, Madhya Pradesh, India
MOP Assistant Advanced RAG Platform
January 1, 2026 – June 1, 2026
Built a multi-agent system for Method of Procedure (MOP) QA, generation, and review, parsing 40K+ documents with heading-hierarchy-aware chunking, structured-JSON table extraction, and context-aware image summarization to preserve document structure. Implemented hybrid retrieval (semantic + reranking + metadata filtering) via Qdrant and a vector-less RAG (PageIndex) review flow; connected MCP to Confluence for live retrieval and ingestion sync, routing GPT for QA/analysis and Claude for generation/reporting.
Software Upgrade Planning Agent
January 1, 2025 – January 1, 2026
Built a multi-agent LangGraph system that auto-generates phased Upgrade Plans (Test, FOA, Mass Rollout) by pulling demand data (site counts, phase timing) and user inputs (batch size, maintenance windows), then computing rollout sequencing. Auto-generated client-ready PPT output with Gantt-chart timelines, reducing a 1-2 day manual planning process to a few minutes of generation plus light review.
Proactive Network Maintenance
January 1, 2024 – January 1, 2025
Designed a DBSCAN-based clustering pipeline on scattered time-series telemetry to proactively flag faulty modems before customer impact, deployed as a Flask REST microservice with Cassandra and PostgreSQL. Built a GenAI diagnostic layer ("Smart Buttons") feeding modem-level FBC correlation, impairment, and signal data to a self-hosted LLM (Llama/Mistral/GPT-OSS on Ollama + EC2) for technician-facing reports, chosen over external APIs to meet customer data-privacy requirements.
Star Performer Award
Ksolves
June 1, 2026 – Present
Best Developer Award
Ksolves
June 1, 2026 – Present
Claude Certified Architect – Foundation (CCA-F)
Anthropic
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from MOP assistance to software upgrade planning and proactive network maintenance, indicates adaptability and a broad interest in applying AI solutions across different domains. Their focus on delivering measurable enterprise impact aligns well with a results-driven culture. The use of both proprietary and open-source LLMs, along with self-hosting for privacy, suggests a pragmatic and resourceful approach. The certifications and awards further highlight a commitment to continuous learning and excellence, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills, evidenced by their ability to design and implement complex multi-agent systems and privacy-preserving AI solutions. Their experience in reducing manual processes and proactively flagging faults indicates a results-oriented approach. The awards received (Star Performer, Best Developer) suggest a strong work ethic and high performance within a team setting. The detailed project descriptions indicate good communication of technical concepts and impact.