Harivardhan reddy
Open to work2 years experienceAI Engineer
AI Engineer | Generative AI & Agentic AI Systems
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
30 skillsWork Experience
AI Engineer & Agentic AI
Concentrix
- Built and maintained Agentic AI and Retrieval-Augmented Generation (RAG) pipelines using LangChain, ChromaDB, and vector embeddings.
- Designed and orchestrated multi-agent AI workflows using LLMs, prompt engineering, function calling, and tool calling.
- Designed and deployed scalable AI/ML pipelines with Python, FastAPI, Kafka, BigQuery, AWS, and Azure.
- Engineered and deployed real-time NLP classification models for email/spam detection.
- Built and maintained streaming AI inference services with Kafka, FastAPI, Flask, Docker, and Kubernetes (GKE).
- Automated the MLOps/AIOps lifecycle with Docker, MLflow, Terraform, Cloud Build, and CI/CD pipelines.
- Implemented AI model monitoring and data drift detection, triggering automated retraining workflows.
Projects
RAG-Based AI Career Coach
- Built an end-to-end RAG application that turns a resume and job description into a searchable index, generating ATS-style reports, skill-gap analysis, resume fixes, project suggestions, and interview questions.
- Implemented file ingestion for PDF, DOCX, and TXT plus a paste fallback.
- Applied chunking via RecursiveCharacterTextSplitter, generated embeddings with HuggingFace, and persisted vectors in ChromaDB.
AI Root Cause Investigation Agent (Enterprise Incident Intelligence)
- Built a multi-agent AI incident investigation platform using LangGraph, MCP, and A2A Protocol to autonomously analyze production incidents.
- Developed a Graph-RAG reasoning pipeline using Neo4j and Elasticsearch to correlate application logs, Kubernetes events, deployment history, and historical incident data.
- Implemented LLM-powered evidence ranking and explainable reasoning.
- Designed scalable FastAPI microservices with Kafka, Redis, and PostgreSQL.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Incident Investigation Efficiency Improvement
Reduced average production incident investigation time by 82% (from 45 minutes to under 8 minutes).
Operational Efficiency Gains
Reduced false positives by 22% and automated 95% of manual review workflows.
About Details
Professional Bio
AI Engineer with nearly 2 years of experience designing and deploying production-grade LLM applications, RAG pipelines, and multi-agent AI systems. Proven track record in building scalable FastAPI services and automating complex workflows to improve operational efficiency.
B.Tech in Electronics & Communication Engineering
Srinivasa Ramanujan Institute of Technology (2020 - 2024)