profile-pic

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

    AI Engineer

  • Years of Experience

    3.7 years

  • Professional Portfolio

    View here

Skillsets

  • pandas
  • LLM orchestration
  • Microservices
  • model optimization
  • Model Training
  • MongoDB
  • MuleSoft
  • NER
  • NumPy
  • OpenAI
  • LLM
  • Prompt Engineering
  • Redis
  • REST
  • Supervised Learning
  • text classification
  • Text embeddings
  • tokenization
  • Tool calling
  • Unsupervised Learning
  • Agentic AI
  • Python
  • CI/CD
  • Docker
  • FastAPI
  • LangChain
  • PostgreSQL
  • rag
  • semantic search
  • Agentic AI
  • AWS
  • API
  • Async
  • Autonomous Agents
  • ChromaDB
  • Distributed Systems
  • FAISS
  • Feature Engineering
  • HuggingFace
  • LlamaIndex

Professional Summary

3.7Years
  • Sep, 2025 - Apr, 2026 7 months

    AI Engineer

    Techno Friend
  • Jan, 2025 - Aug, 2025 7 months

    Application Developer (Internship)

    Caelius Consulting
  • Jan, 2022 - Jun, 20242 yr 5 months

    Backend Engineer

    Techno Friend

Work History

3.7Years

AI Engineer

Techno Friend
Sep, 2025 - Apr, 2026 7 months
    Led and mentored a team of 23 developers to architect and deliver the core backend and AI pipelines for Sentinel Health AI, scaling the platform to aggregate 100K+ EHR records and stream 50K+ wearable events/day into a unified clinical timeline. Designed real-time streaming and anomaly-detection systems processing 5M+ health signals/month, enabling early clinical drift detection and reducing potential emergency escalations by 35%. Developed secure RESTful APIs and event-driven microservices handling 1M+ daily requests with end-to-end encryption and HIPAA-compliant architecture, achieving 99.9% uptime and sub-200ms latency while improving throughput by 40%. Implemented AI-driven risk scoring and doctor-in-the-loop escalation workflows that automated 60% of manual reviews, reduced intervention response time by 40%, and improved proactive care outcomes for 30% more at-risk users.

Application Developer (Internship)

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

Techno Friend
Jan, 2022 - Jun, 20242 yr 5 months
    Built scalable Python FastAPI backend services and automation pipelines handling 10K+ API requests/day, reducing manual operational tasks by 40% and improving system reliability. Implemented FastAPI-based REST integrations across internal and third-party platforms, enabling real-time data synchronization and automating 5+ business workflows end-to-end. Developed structured logging, monitoring, and error-handling in FastAPI services, reducing production issues by 30% and accelerating troubleshooting time. Collaborated with cross-functional stakeholders to analyze workflows and deliver FastAPI backend solutions that improved operational efficiency by 25% across key processes.

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)