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AI Engineer with 1+ years in Generative AI & Machine Learning
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AI Engineer with 1.8 years of experience specializing in Generative AI, Machine Learning, and Agentic AI. Proficient in developing LLM-powered services, predictive models, and AI observability platforms. Demonstrated expertise in NLP, RAG pipelines, and workflow orchestration, contributing to significant improvements in latency and data analysis efficiency across diverse projects.
G.B. Pant University of Agriculture and Technology
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Experiture
Jr. AI Engineer
June 1, 2025 – Present
Kolkata, West Bengal, India
Dyota Labs
Generative AI Intern
December 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India
Blue Planet InfoSolutions Pvt. Ltd.
AI/ML Intern
July 1, 2024 – December 1, 2024
Pune, Maharashtra, India
Mailwright Agentic Marketing Email Platform
July 1, 2024 – December 1, 2024
Built a stateful, resumable LangGraph agent that turns a creative brief into a production-ready responsive email (MJML to HTML), with checkpointed state and human-in-the-loop clarification and feedback loops. Added an optional RAG fast-path using pgvector cosine similarity on brief embeddings, letting users trade full from-scratch generation for a faster retrieval-and-fill mode when latency matters. Applied context engineering across the workflow, including rolling summarization in the chat graph and typed GraphState as shared workflow memory across all nodes.
View ProjectStockInsight AI
July 1, 2024 – December 1, 2024
Built a 10-agent financial analysis system using AutoGen, with role-specialized agents for data retrieval, news collection and summarization, and structured markdown report generation across one or more tickers with comparative analysis. Designed a multi-stage review pipeline where multiple specialized reviewer agents audit the draft for quality, consistency, and compliance, and a meta-reviewer agent aggregates their feedback into final revisions before output.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including personal projects like 'StockInsight AI' and 'Mailwright Agentic Marketing Email Platform', alongside professional experience in various AI/ML roles, indicates a strong passion for the field and a proactive learning attitude. The breadth of skills across Generative AI, Agentic AI, ML/Deep Learning, Backend, Workflow Orchestration, Databases, and Cloud/DevOps suggests adaptability and a willingness to explore different facets of AI engineering. This aligns well with a dynamic, innovation-driven culture often found in AI-focused teams. The experience in optimizing for different languages (Kannada) and domains (insurance, banking, healthcare) also shows versatility.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, an ability to work with complex systems, and a focus on practical application of AI technologies. The use of human-in-the-loop processes and multi-stage review pipelines indicates an understanding of robust system design and quality assurance. The adoption of DBOS for crash-resumable workflows demonstrates a proactive approach to operational reliability. The candidate's experience in building observability layers also points to a strong operational mindset.