Software Engineer with 1+ years in Data Engineering & AI/ML
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Assessing your cultural and operational fit
Results driven Software and Data Engineer specializing in building scalable data pipelines, AI powered applications, and cloud native systems. Proficient in Google Cloud Platform, Apache Airflow, PySpark, and Dataproc for enterprise grade data engineering. Skilled in LLM based application development using LangChain, LangGraph, and CrewAI. Adept at delivering end to end solutions from architecture design to production deployment.
K.L.N College of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
American Express
Software Engineer 1
November 1, 2025 – March 1, 2026
India
NelexGlobal
Machine Learning Engineer
December 1, 2023 – April 1, 2024
India
KLN IRP
In house Intern
March 1, 2023 – December 1, 2023
India
NextGen AI Assistant
June 1, 2026 – Present
Implemented LangChain powered customer service chatbots with multi step reasoning and RAG based retrieval to deliver accurate, context aware responses. Built a structured AI learning tool supporting interactive Q&A sessions with LLM generated outputs and semantic retrieval using vector stores.
Product Design Using Generative AI
June 1, 2026 – Present
Built a GenAI powered product design tool using LoRA fine-tuned Stable Diffusion models to generate custom designs for apparel and footwear. Enabled text to image, sketch to design, and inpainting based editing workflows for rapid prototyping and personalization of product visuals.
Research Assistant (Multi Agent System)
June 1, 2026 – Present
Developed an AI powered research assistant using autonomous agents that collaborate, share findings, and generate comprehensive reports. Implemented multi agent coordination using LangGraph to enable efficient parallel research, context sharing, and structured summarization.
Spoken Tutorial - Git Version Control
Unknown
June 1, 2026 – Present
HackerRank - Problem Solving
Unknown
June 1, 2026 – Present
HackerRank - Python
Unknown
June 1, 2026 – Present
GUVI – Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with diverse personal and academic projects involving cutting-edge AI technologies (LLMs, Generative AI, Multi-Agent Systems), indicates a strong passion for innovation and continuous learning. The experience at American Express and NelexGlobal, though short-term, shows exposure to enterprise environments and client-facing applications. The breadth of skills across data engineering, AI/ML, and full-stack development (UI/UX, backend) suggests adaptability and a willingness to tackle various challenges, which aligns well with dynamic, fast-paced environments. The certifications, while basic, show an initiative for self-improvement.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with stakeholders and leading development, suggesting good teamwork and project management skills. The experience at American Express indicates an understanding of data quality and integrity in enterprise environments. The NelexGlobal role shows a focus on user growth and revenue uplift, indicating a business-oriented mindset. However, without specific psychometric test results, a deeper assessment of stress handling, logical reasoning, and work attitude is not possible.