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AI Engineer with less than a year in GenAI & LLM
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with experience building GenAI, Agentic AI, and ML production systems including RAG pipelines, NL-to-SQL engines, AI voice agents, and workflow automation. Skilled in Python, LLM frameworks, vector databases, and scalable AI architectures with hands-on deployment experience using cloud and orchestration tools.
Jawaharlal Nehru Technological University Kakinada
B.Tech · Information Technology
August 1, 2019 – June 30, 2023
Avkalan.ai
AI Engineer
March 1, 2026 – Present
India
Evtaar Technologies
Associate AI/ML Engineer
June 1, 2025 – February 1, 2026
India
AI Document Chatbot with Multi User RAG System
June 27, 2026 – Present
Engineered a multi-user AI chatbot using RAG architecture for contextual document question answering. Architected PostgreSQL + pgvector storage with 384-dimension embeddings for similarity search. Developed Flask APIs for document upload, chatbot interaction, and monitoring with structured validation and error handling. Implemented UUID-based session management with conversation memory and support for 7+ document formats. Improved retrieval accuracy using semantic chunk ranking and similarity thresholds.
British Airways Data Science Job Simulation
Forage
June 1, 2026 – Present
NASSCOM Advanced Data Science with Python
NASSCOM
June 1, 2026 – Present
IBM Data Analysis with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from multi-user RAG chatbots to agentic AI workflows for marketing and voice agents, indicates adaptability and a broad interest in AI applications. Their experience in both associate and engineer roles at different companies, including remote work, suggests flexibility. The listed certifications further demonstrate a commitment to continuous learning. These aspects generally align with a culture that values innovation, continuous improvement, and practical application of AI.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through the development of complex AI systems and optimization efforts. Their experience with workflow automation (n8n) suggests an operational mindset focused on efficiency. The descriptions imply an ability to work independently and deliver production-ready solutions. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.