AI Engineer with 2+ years in RAG pipelines, multi-agent orchestration, and prompt evaluation.
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LLM & GenAI Engineer with 2+ years building production-grade RAG pipelines, multi-agent orchestration systems, and prompt evaluation frameworks. Achieved a 45% answer-relevance gain (LangSmith-verified) and holds formal ML engineering experience deploying to AWS SageMaker, Azure ML, and GCP Vertex AI.
SVIT, Telangana
B.Tech · Computer Science Engineering
January 1, 2019 – January 1, 2023
Self-Initiated Projects
Independent AI Engineer
November 1, 2023 – May 1, 2025
Hyderābād, Telangana, India
Cyient Ltd.
Automation & AI Engineer Intern
June 1, 2023 – October 1, 2023
Hyderābād, Telangana, India
PromptGuard - Prompt Evaluation & QA Framework
March 1, 2025 – May 1, 2025
• A/B testing infrastructure on LangSmith — onboarded 8+ developers and compressed new-feature validation from 3 weeks to 4 days by catching reliability regressions before production.
View ProjectDocuGen AI - Intelligent Document Generation
December 1, 2024 – February 1, 2025
• End-to-end GenAI platform ingesting 300+ unstructured files at 88% accuracy — cut report-generation time by 55% via ChromaDB retrieval and ReAct query routing.
View ProjectLLM Observability & Cost Intelligence Platform
November 1, 2024 – December 1, 2024
• Instrumented every API call with custom tracking for token usage, USD cost, and P50/P95 latency with configurable alerting. Added LLM-as-a-judge hallucination scoring and cross-model analytics for GPT, Claude, and Mistral.
View ProjectAutoTasker - Multi-Agent Task Orchestration
September 1, 2024 – November 1, 2024
• Delivered 1-3 hours of time savings per workflow across 200+ tasks; Celery async execution and Redis state kept P95 latency under 4 seconds at full load.
View ProjectGreen Alpha - ESG & Sustainability Intelligence
January 1, 2024 – April 1, 2024
• RAG pipeline over 100+ ESG documents — elevated answer relevance by 35%, trimmed query response time by 28%, and supported 20+ concurrent users on AWS with 87% CoT accuracy.
View ProjectBuilding Agentic AI Systems with AWS Bedrock
Analytics Vidhya
June 1, 2026 – Present
AI Fluency: Framework & Foundations
Anthropic
June 1, 2026 – Present
Claude 101 & Claude Code in Action
Anthropic
June 1, 2026 – Present
Building AI Agents using AutoGen
Analytics Vidhya
June 1, 2026 – Present
Certified Pega Senior System Architect (CSSA)
Pega
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards self-initiated projects and continuous learning, as evidenced by numerous certifications and personal projects. This demonstrates a proactive and growth-oriented mindset. The diversity of projects, from LLM observability to multi-agent orchestration, indicates adaptability and a broad interest in the AI domain. The experience with various cloud platforms and LLM APIs (GPT, Claude, Mistral) suggests an open-minded approach to technology choices, which can contribute positively to cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong focus on problem-solving, efficiency improvements (e.g., cutting report generation time, reducing manual task steps), and reliability. The experience with A/B testing infrastructure and stress-testing frameworks indicates a methodical approach to development and quality assurance. The independent project work suggests self-motivation and initiative, which are valuable for operational fit.