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AI Engineer with 2+ years in Agentic AI Systems & LLM Engineering
Agentic AI Engineer with 3 years of production experience building autonomous LLM systems, multi-agent pipelines, and RAG-powered applications, from enterprise data platforms to domain-specific chatbots. Specializes in end-to-end delivery: architecting agent logic, wiring the retrieval stack, and shipping to production. Work spans multilingual NLP (Urdu, Arabic, English), domain-specific knowledge systems, and enterprise automation, giving rare depth in low-resource language AI alongside mainstream LLM engineering. Builds with LangChain, LangGraph, LlamaIndex, GPT-40/o-series, Claude, and Gemini, with strong grounding in RAG/GraphRAG, fine-tuning, evaluation, and MLOps. Full-stack mindset spanning FastAPI backends to React frontends.
Deccan College of Engineering & Technology
Bachelor of Engineering (B.E.)
August 1, 2019 – June 30, 2023
Yuva IntelliAi Solutions
AI Engineer
October 1, 2024 – Present
Hyderābād, Telangana, India
Neunex
Associate AI Engineer
September 1, 2023 – September 1, 2024
India
KS Rahmani - Multilingual Islamic Jurisprudence RAG Chatbot
June 24, 2026 – Present
Built an AI Q&A chatbot over a curated corpus of Urdu scholarly books; every answer is grounded strictly in the source texts with mandatory citations (book, volume, page) on every response. Implemented a hybrid retrieval pipeline (vector + BM25 search) with cross-encoder reranking and a grounding filter that verifies answers against source text to prevent hallucinated citations. Supports text and voice input across Urdu, Roman Urdu, English, and Arabic with automatic language detection and reply-language matching. Engineered tiered model fallback (Gemini Flash to Pro to Lite), Redis caching, and embedding caching for cost and latency optimization. Deployed on Railway.
My Azaan - AI-Powered Azaan Validation & Training System
June 24, 2026 – Present
Engineered AI models for Azaan recitation validation using GPT-40 and advanced embedding techniques to assess accuracy against reference audio patterns. Built a real-time AI feedback agent that evaluates pronunciation, identifies deviations, and provides corrective guidance, enabling self-directed improvement without a human instructor.
BLE Proximity Attendance - Passive Smart Attendance System
June 24, 2026 – Present
Cross-platform mobile app (Android & iOS) that automatically marks employee attendance via Bluetooth proximity; no taps, no scans, no QR codes. Covers the full attendance workflow: auto check-in, late detection, work status tracking, missed checkout handling, and end-of-day admin controls. Live in production.
HR Automation Agent
June 24, 2026 – Present
Built autonomous HR agents (LangChain, LangGraph, Llama 3.2) for query resolution, document processing, and dynamic report generation via tool-calling.
AI Counselor & Course Recommendation Agent
June 24, 2026 – Present
Built a RAG-based counselor agent (LlamaIndex) delivering personalized course recommendations refined through multi-turn interaction.
Cybersecurity Threat Detection Agent
June 24, 2026 – Present
Designed an autonomous ML threat-detection agent achieving 83% accuracy on real-time network anomaly identification.
GK Buddy Learning Assistant
June 24, 2026 – Present
Built GK Buddy, an adaptive GK learning assistant generating quizzes, flashcards, and voice explanations from raw content.
Facial Recognition Attendance System
June 24, 2026 – Present
Developed a real-time facial recognition pipeline automating student attendance with high accuracy across lighting conditions.
DATAMAN - Agentic Data Management Platform
June 24, 2026 – Present
Architected AI workspace agent using ReAct-style tool calling for autonomous DB queries, dbt/Dagster ops, file management, and semantic code navigation. Implemented RAG-based code search engine with Tree-sitter AST parsing, OpenAI embeddings, and incremental Weaviate indexing for context-aware code retrieval. Built multi-database connector agents (PostgreSQL, MySQL, Snowflake, BigQuery, GCS, S3) with natural language SQL generation and query history reasoning. Centralized API Gateway handling routing, auth, rate limiting, and reverse proxy across 7+ microservices.
TeraRecon AI RevOps Copilot - Conversational Analytics Agent
June 24, 2026 – Present
Built agentic pipeline that autonomously ingests structured CRM records and unstructured PDF invoices from Salesforce, extracts entities via GPT-40 agents, and unifies data into a cross-referenced analytics store. Implemented hybrid rule-based + LLM extraction with confidence scoring; low-confidence extractions are flagged for human review in a self-auditing agentic loop. Delivered a conversational AI chat interface allowing business users to query revenue/contract data in plain English with dynamic chart generation directly in chat.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from agentic data platforms and conversational analytics to HR automation and Islamic jurisprudence chatbots, demonstrates a broad interest in applying AI across various domains. This diversity, coupled with experience in both established and early-stage AI solutions, suggests an adaptable and curious individual. The explicit mention of working across the full stack and multiple cloud providers indicates a willingness to learn and integrate new technologies, aligning well with dynamic, innovation-driven environments. The focus on practical, deployable solutions for enterprise clients also suggests a business-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to deliver complex AI solutions from conception to production. The focus on enterprise clients and real-world problems suggests a practical, results-driven approach. The detailed descriptions of challenges like hallucination prevention and cost optimization point to a mature operational mindset. The candidate's experience in full-stack development and cloud deployments implies adaptability and a holistic view of system delivery.