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Kartik Verma

AI Solution Backend Developer

AI Solution Backend Developer with 2 year of hands-on experience building production-grade AI systems using Python, FastAPI, Azure, and LLMs. Specialized in agentic AI sys- tems, Retrieval-Augmented Generation (RAG), LangChain/LangGraph, and cloud- native backend architectures. Proven ability to design, deploy, and optimize AI-driven interview and automation solutions with real-world constraints like latency, scalability, and reliability.

Technical Skills

Languages

Python, JavaScript, HTML, CSS

Backend & APIs

FastAPI, Django, Django REST Framework

LLMs & AI

LangChain, LangGraph, OpenAI API, Hugging Face Transformers, RAG, Prompt Engineering, Agentic AI

ML/DL

TensorFlow, Keras, PyTorch, Scikit-learn, YOLO, OpenCV

Vector Search

FAISS, VectorDB concepts

Cloud & DevOps

Azure (Service Bus, Blob Storage), Docker, Git

Data

MongoDB, NumPy, Pandas, Data Preprocessing

Experience

Full-Stack Backend / AI Engineer

Athmick.ai | Remote

April 2025 – Present
  • Designed and developed AI-driven interview platforms using FastAPI with agentic workflows powered by LangChain and LangGraph.
  • Built and deployed LLM-based agents capable of multi-step reasoning, tool usage, memory handling, and dynamic prompt orchestration.
  • Implemented Retrieval-Augmented Generation (RAG) pipelines including document ingestion, chunking strategies, embeddings, and vector-based retrieval.
  • Integrated Azure cloud services including Azure Service Bus, Blob Storage, and secure secret management.
  • Optimized prompt engineering, agent execution flows, and response latency while minimizing hallucinations.
  • Collaborated closely with product and frontend teams to translate business requirements into reliable AI-backed backend services.

Junior Python Developer

Spark Brains Pvt. Ltd. | Chandigarh

Jul 2024 – Dec 2024
  • Developed backend systems using Django, FastAPI, PostgreSQL, and Django REST Framework.
  • Built and delivered multiple production projects including an Employee Management System and FNTX Trading Platform.
  • Applied AI techniques such as transfer learning, time-series forecasting, and object detection using TensorFlow, Keras, and YOLO.
  • Followed clean code practices, modular architecture, and REST API best practices.

Education

B.E. in Computer Science and Engineering

Chandigarh University, Mohali | May 2024

CGPA: 7.75/10

Certifications

Machine Learning, Coursera (Stanford University)

Introduction to TensorFlow for AI, ML, and Deep Learning (DeepLearning.AI)