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AI Engineer with less than a year in Generative AI & RAG Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher AI/ML Developer with hands-on expertise in Generative AI, Agentic AI workflows, and production-grade RAG pipelines using LangChain & LangGraph. Skilled in Python, LLM inferencing, prompt engineering, NLP, OCR, vector search (pgVector/OpenSearch), and AWS cloud deployment. Built enterprise AI applications with sub-2s latency, deployed containerised solutions via Docker and CI/CD pipelines. A2 German certified.
Finolex Academy of Management & Technology
B.E. · Computer Science (AI & ML)
August 1, 2022 – June 30, 2025
Government Polytechnic
Diploma · Computer Engineering
August 1, 2019 – June 30, 2022
Zensar Technologies Pvt. Ltd.
Associate Software Engineer Intern
August 1, 2025 – October 31, 2025
Pune, Maharashtra, India
Pantech Solutions
Artificial Intelligence Intern
May 1, 2025 – July 31, 2025
India
RAG-Based Enterprise Knowledge Assistant
June 1, 2026 – Present
Designed production RAG pipeline: document ingestion, chunking, embedding generation, pgVector storage, and LLM response synthesis aligned with NLP and LLM API integration requirements. Built Agentic AI orchestration using LangGraph DAG; achieved sub-2s retrieval & generation latency across 10k+ document corpus with advanced prompt engineering. Deployed containerised app on AWS (Lambda + S3 + RDS); semantic search with pgVector for high-precision knowledge retrieval.
Healthcare AI Patient Management Application
June 1, 2026 – Present
Integrated ML/OCR models into production APIs; secured with AWS Cognito/IAM; SQS async messaging and CloudWatch observability. Wrote unit and integration tests maintaining 90%+ code coverage; applied NLP for patient data extraction aligned with TDD best practices.
Location Intelligence & Spatial Analytics Platform
June 1, 2026 – Present
Architected OWASP-compliant microservices; optimised PostgreSQL with indexing/partitioning improving retrieval by 35%. Deployed on AWS (Lambda, S3, CloudWatch); CI/CD with Docker and Jenkins; full DAG-based pipeline documentation.
German Language A2
Goethe-Institut
June 1, 2026 – Present
AI & ML Internship
Pantech Solutions
January 1, 2025 – Present
Software & Automation Testing
Zensar Technologies
January 1, 2025 – Present
The candidate scored 95% on the Java Intern test, indicating excellent foundational knowledge in Java.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (RAG-based assistant, spatial analytics, healthcare AI) shows adaptability and a broad understanding of AI applications. The inclusion of a German language certification suggests a proactive approach to personal development and potentially a good fit for diverse team environments. The experience level is listed as 0, but the projects and internships show practical exposure, indicating a motivated individual eager to contribute.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a focus on performance optimization (sub-2s latency, 35% retrieval improvement), security (OWASP compliance, AWS Cognito/IAM), and testing (90%+ code coverage, TDD). This indicates a strong operational mindset and attention to detail. The psychometric test score of 329/500 suggests moderate logical reasoning, work attitude, stress handling, and team collaboration skills, which could be further explored during interviews.