Ashutosh Ranjan
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Ashutosh Ranjan

Applied AI Engineer

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About Me

Passionate about creating meaningful digital solutions

Driven by curiosity and innovation, I specialize in building intelligent systems that bridge the gap between data and real-world applications. My expertise lies in machine learning, artificial intelligence, and data-driven problem solving, where I focus on creating solutions that are not only technically robust but also impactful for users.

I enjoy working at the intersection of modern web technologies, cloud platforms, and AI frameworks, leveraging them to design scalable, efficient, and meaningful digital experiences. Whether it’s optimizing machine learning workflows, deploying AI models, or crafting user-centric applications, my goal is to create solutions that bring measurable value.

7+
Projects Completed
1+
Years Professional Experience
15+
Technologies
Core Stack
Python LangChain RAG FastAPI Google Cloud PyTorch

Work Experience

My professional journey so far

Applied AI Engineer

Mar 2026 - Present

Sigma Global AI Β· Pune, India

  • Designed and implemented a scalable multi-tenant backend architecture with secure data isolation and role-based access controls.
  • Integrated large language models (LLMs) into production workflows for intelligent, context-aware automation.
  • Developed retrieval-augmented generation (RAG) pipelines to improve response accuracy by leveraging domain-specific knowledge bases.
  • Built real-time processing pipelines integrating speech, language, and backend services.
  • Created asynchronous and event-driven workflows to handle high-concurrency requests with low latency.
  • Deployed and managed cloud-native infrastructure on Google Cloud Platform (GCP) using containerized services and managed resources.
  • Implemented observability solutions including centralized logging, monitoring, performance tracking, and system health dashboards.

AI Engineer Intern

Sep 2025 - Nov 2025

ProdLoop AI Β· Onsite - Bangalore, India

  • Built and optimized end-to-end RAG and automation pipelines, improving contextual retrieval and reducing inference latency.
  • Developed scalable FastAPI-based microservices connected with Vector Databases for LLM inference.
  • Deployed cloud-native AI services using GCP Cloud Run and Cloud Functions, integrating logging, monitoring, and CI/CD.
  • Implemented voice intent analysis and feedback analytics, enhancing generative model accuracy.
  • Collaborated with product teams to debug issues, trace failures, and deliver customer-ready features.

Django Backend Developer

Aug 2024 - Nov 2024

Aekudev Technologies Pvt. Ltd. Β· Remote - Bhubaneshwar, India

  • Developed and tested RESTful APIs using Django REST Framework.
  • Migrated databases to PostgreSQL to enhance scalability and performance.
  • Utilized AWS VDI instances for deployment in production environments.

Technical Skills

Technologies I work with

Frontend Development

HTML5 CSS3 JavaScript

Backend Development

Node.js Python Django Flask FastAPI REST APIs WebSockets

Machine Learning & AI

TensorFlow PyTorch Scikit-learn LangChain LangGraph Hugging Face Computer Vision NLP OpenAI API Gemini API RAG Knowledge Graphs

AI System & Infrastructure

Tokenization KV Caching Continuous Batching Model Serving GPU Inference

Tools & Technologies

Git Docker MongoDB PostgreSQL Jupyter AWS Cloud Google Cloud Vercel Playwright GitHub Actions ChromaDB Pinecone

Featured Projects

Some of my recent work

CrashSense β€” AI Accident Detection & Alert System

Full-stack accident detection system using a custom-trained YOLOv8 model on CCTV footage, with streak-based false-positive reduction and automatic evidence capture. Gemini generates context-aware SOS messages (with fire-hazard assessment) delivered instantly via a Telegram bot.

Python YOLOv8 OpenCV FastAPI Gemini API React Docker

Vision-Based Drone Landing Pad Detection

CV-based landing pad detection system using ArUco markers with real-time pose estimation and autonomous landing correction, validated on DroneKit SITL.

Python OpenCV Computer Vision FastAPI

Assignment Grading System

Intelligent assignment grading system with ML-powered evaluation capabilities for automated assessment.

JavaScript Machine Learning Node.js
View Project β†’

Face Recognition System

Real-time face detection, expression recognition, and age estimation using advanced computer vision techniques.

JavaScript Face-API.js Computer Vision
View Project β†’

Brain Tumor Detection

Full-stack ML application for medical imaging analysis with deep learning models for brain tumor detection.

Python Deep Learning Medical AI
View Project β†’

RAG Knowledge System

Advanced knowledge management system implementing RAG architecture with Level-3 system design.

Python RAG NLP
View Project β†’

Mood Mapper

Intelligent mood tracking and analysis application using Python and machine learning algorithms.

Python Data Analysis ML
View Project β†’

DesiVoyage

Travel planning and discovery platform with interactive features and user-friendly interface.

JavaScript Web Development UI/UX
View Project β†’

Health-Sense AI

ML-based disease prediction system for heart disease, pneumonia, and Parkinson's detection using advanced machine learning models.

Python Keras OpenCV Streamlit
View Project β†’

Hackathon & Event Projects

Nexus Hackathon Solution

Innovative tech solution that secured 4th place nationally at IIIT Pune hackathon competition.

Innovation Problem Solving Team Leadership
πŸ† 4th Place National

Cybersecurity Seminar

Conducted hands-on cybersecurity simulation session with live demonstrations for 50+ attendees.

Cybersecurity Live Simulation Public Speaking
πŸ‘₯ 50+ Attendees

Let's Connect

Ready to bring your ideas to life

I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat about technology, feel free to reach out.

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GitHub

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Portfolio

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