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Harshit Agarwal


I am an aspiring Software Engineer (SDE-1) with a strong interest in backend and full-stack development (MERN stack), backed by hands-on industry experience as an Application Developer Intern at Caelius Consulting.

I hold an MCA from the University of Hyderabad, where I developed a solid foundation in computer science fundamentals, data structures, algorithms, and software engineering principles.

During my internship, I worked with the backend and integration engineering team, contributing to the development and enhancement of 20+ RESTful APIs used to integrate 8+ internal and third-party systems. I was involved in building API flows, implementing validations, debugging integration issues, and improving system reliability across DEV and QA environments.

I developed and optimized 30+ data transformation scripts, reducing data-mapping errors by 35–40% and improving downstream data accuracy by 25%. Through extensive API testing and debugging, I helped resolve 60+ functional and data-related issues, contributing to a 20–25% reduction in API failure rates and faster testing cycles.

I also supported 10+ API deployments, gaining exposure to real production-like workflows, environment configurations, and release validations. This experience strengthened my understanding of backend request–response lifecycles, scalable system design, and enterprise-level problem solving.

Alongside my professional experience, I actively practice Data Structures & Algorithms, focusing on arrays, strings, hashing, two pointers, sliding window, stacks, trees, graphs, and dynamic programming to improve problem-solving efficiency.

  • Role

    Full-Stack AI Engineer

  • Years of Experience

    3 years

  • Professional Portfolio

    View here

Skillsets

  • react
  • Multi-agent pipelines
  • Neo4j
  • PGVector
  • Pinecone
  • Plotly
  • PostgreSQL
  • Queue processing
  • rag
  • Monitoring
  • Responsive UI
  • Rest APIs
  • S3
  • semantic search
  • TypeScript
  • Websockets
  • workflow orchestration
  • AWS
  • Logging
  • LangGraph
  • LangChain
  • JavaScript
  • FastAPI
  • embeddings
  • EC2
  • Docker
  • D3
  • CloudWatch
  • CI/CD
  • Bash
  • background jobs
  • SQL
  • Python

Professional Summary

3Years
  • Jan, 2025 - Present1 yr 3 months

    AI Engineer

    Contract-Based AI Engineering
  • Jan, 2025 - Aug, 2025 7 months

    Software Developer

    Caelius Consulting
  • Jan, 2023 - Jan, 20252 yr

    Backend Engineer

    Contract-Based Backend Engineering

Work History

3Years

AI Engineer

Contract-Based AI Engineering
Jan, 2025 - Present1 yr 3 months
    Designed and deployed LangGraph-based multi-agent pipelines orchestrating data analysis and reasoning workflows across large-scale datasets in production environments. Built Python FastAPI and WebSocket backends enabling real-time agent orchestration, streaming results, and interactive AI-driven user workflows. Developed React/TypeScript dashboards embedding plots, structured data, and AI-generated content for complex analytical pipelines and editable user interfaces. Implemented vector database retrieval systems (pgvector/Pinecone) and semantic search pipelines supporting knowledge-driven agent decisions. Delivered end-to-end full-stack AI platforms integrating agents, databases, APIs, and visualization layers processing millions of events per month.

Software Developer

Caelius Consulting
Jan, 2025 - Aug, 2025 7 months
    Built and deployed 10+ MuleSoft APIs and integrations on Anypoint Platform connecting enterprise and third-party systems, improving data consistency and reducing manual processing by 35%. Implemented API-led connectivity and Mule flows with data transformations, enabling real-time synchronization across 5+ systems and reducing integration latency by 40%. Translated business requirements into scalable MuleSoft solutions, delivering reusable APIs that accelerated integration delivery time by 30% across projects. Contributed to Agile integration delivery, code reviews, and testing, improving deployment reliability and reducing integration defects by 25%.

Backend Engineer

Contract-Based Backend Engineering
Jan, 2023 - Jan, 20252 yr
    Built scalable FastAPI services and data workflow automation pipelines handling 10K+ daily requests across distributed systems. Implemented integrations across databases and external platforms enabling automated data processing and synchronization. Designed PostgreSQL schemas and optimized query performance for analytics and application backends. Added structured logging, monitoring, and failure-handling improving production reliability by 30%.

Major Projects

3Projects

Analysis of social media trends(Twitter)

    Utilized Bag of Words and TF-IDF to transform tweet data for sentiment analysis and topic modeling. Implemented K-means clustering to categorize tweets and applied cosine similarity for evaluating tweet relationships.

Brain Tumor Detection And Classification

    Developed a two-step CNN model using TensorFlow for brain tumor detection from MRI images. Applied GANs for synthetic image generation and ensemble learning for improved accuracy.

Cardiovascular Disease Risk

    Performed EDA and applied classification algorithms including Logistic Regression, Decision Tree, Random Forest, and SVM. Evaluated model performance using accuracy, precision, recall, and F1 score.

Education

  • Master of Computer Application

    University of Hyderabad (2025)
  • Bachelor of Science

    University of Lucknow (2022)