
AI Engineer with 1+ years in LLM-powered Applications & Multi-Agent Systems
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AI Engineer and Data Scientist with hands-on experience building LLM-powered applications, multi-agent systems, and RAG pipelines. Delivered production-ready AI solutions at Fintegral (Australia) including a financial advisor chatbot using GPT-4, LangChain, and vector databases. Proficient in Python, Azure AI, AWS, and agentic frameworks including AutoGen, LangChain, and CrewAI. Seeking AI Engineer or ML Engineer roles where I can build intelligent systems that solve real business problems.
Swami Vivekananda University
Bachelor of Technology · Data Science
August 1, 2020 – June 30, 2024
Fintegral
AIDeveloper
July 1, 2024 – Present
India
AI/ML Code Generation Agent
January 1, 2024 – June 1, 2026
Built a multi-agent system to dynamically generate, refine, and validate ML code. Reduced developer prototyping time by automating core code blocks functionality comparable to Copilot/Amazon Q.
Multi-Agent Blog Writing Assistant
January 1, 2024 – June 1, 2026
Developed a multi-agent workflow using AutoGen, enabling automated blog generation with layered feedback loops. Implemented writer, reviewer, SEO, grammar, ethics, and meta-review agents with nested chat orchestration, improving content quality through iterative refinement and structured evaluation.
AUTONOMOUS RESEARCH AGENT
January 1, 2024 – June 1, 2026
Agentic real-time web research system delivering structured reports. Designed UserProxy + Assistant pipeline where GPT-4o leverages Tavily real-time search to research any topic, synthesize insights, and generate cited structured reports without human intervention. Implemented multi-turn conversation memory, secure .env credential management, and configurable output formatting.
Building AI Agents with AutoGen
Unknown
June 1, 2026 – Present
Prompt Design in Vertex AI
Unknown
June 1, 2026 – Present
Certified Data Scientist
Naresh i Technology
June 1, 2026 – Present
Microsoft Azure AI Essentials Professional Certificate
Microsoft & LinkedIn
June 1, 2026 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI/ML Code Generation Agent, Autonomous Research Agent, and Multi-Agent Blog Writing Assistant, shows a broad interest in applying AI to various domains. Their current role as an AI Developer at Fintegral aligns well with the target role of an AI Engineer. The certifications in Generative AI and Azure AI further indicate a commitment to continuous learning and staying current with industry trends, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their experience in presenting technical solutions to non-technical business teams. Their project work on multi-agent systems with layered feedback loops suggests an understanding of iterative refinement and structured evaluation, which can translate to good operational practices. The focus on 'developer enablement' in projects indicates a proactive approach to improving development workflows.