Available for AI Engineering Opportunities

Ravinder Singh

AI Engineer

I build AI-powered applications, retrieval-augmented generation pipelines, and backend systems using Python and modern AI technologies. My experience spans AI application development, cloud-based workflows, IoT analytics, and applied research.

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Ravinder Singh - AI Engineer
🏆 Hackathon Winner
Background & Profile

About Me

I am an AI Engineer completing my B.Tech in Artificial Intelligence (2022–2026) at Amity University with an 8.44 CGPA. My core engineering practice focuses on designing robust AI application architectures, high-performance RAG pipelines, and production backend services using Python, FastAPI, and modern AI stacks.

My work spans applied deep learning, large language models, agentic workflows, computer vision, and privacy-preserving distributed machine learning. Through both production engineering at Lucidus AI and research R&D at CSIR–National Physical Laboratory, I have engineered scalable data ingestion pipelines, cloud-native deployments across AWS and GCP, and telemetry anomaly detection systems.

Beyond system development, I am active in peer-reviewed research with IEEE conference publications in IoT-AI analytics and privacy-preserving frameworks. In leadership, I have served as Chairperson of the IEEE Student Branch and President of the Hardly Human AI Club, fostering collaborative technical communities and competitive engineering hackathons.

B.Tech in Artificial Intelligence

Amity University (2022 – 2026) · CGPA: 8.44. Specialization in Machine Learning, Neural Networks & Autonomous Systems.

Applied R&D Experience

National Physical Laboratory, CSIR (Govt. of India) · Engineered dual-mode IoT storage pipelines and anomaly detection on telemetry.

Student Technical Leadership

Chairperson, IEEE Student Branch & President, Hardly Human AI Club · Spearheaded hackathons, workshops, and student research culture.

Capabilities & Tech Stack

Technical Skills

Verified technologies and architectural competencies demonstrated across production systems, prototypes, and applied research.

AI, ML & LLMs

Large Language Models (LLMs) Generative AI Retrieval-Augmented Generation (RAG) Agentic AI Workflows Transformers Prompt Engineering Computer Vision (OpenCV, OpenVINO) Multimodal AI (ImageBind) Federated Learning PyTorch Scikit-learn

Programming & Backend

Python FastAPI REST APIs SQL Object-Oriented Programming (OOP) Asynchronous Programming Model Serving & Inference Microservices Architecture

Data, Vector & Graphs

FAISS Qdrant Vector DB Neo4j (Knowledge Graphs) PostgreSQL Pandas NumPy SciPy Matplotlib Exploratory Data Analysis (EDA)

Cloud & DevOps

Docker AWS Google Cloud Platform (GCP) Google Cloud Run Microsoft Azure Git / GitHub CI Linux Environment Overleaf / LaTeX
Engineering Portfolio

Featured Projects

A collection of intelligent systems, RAG pipelines, distributed learning frameworks, and deep learning estimators built with production engineering rigor.

Network Intelligence RAG & Multi-Agent

GraphLens: AI-Powered Network Intelligence Platform

A network telemetry intelligence and analytics platform engineered to automate root-cause analysis for complex network infrastructure incidents.

Problem Addressed: Correlating distributed telemetry streams and identifying security anomalies in high-velocity network graphs.
Technical Implementation: Built with Python and FastAPI; maps network dependencies into a Neo4j knowledge graph. Employs hybrid vector retrieval and multi-agent LLM workflows to parse alerts and isolate anomalies.
Python FastAPI Neo4j Hybrid RAG Multi-Agent Next.js Docker
Repository
Federated Learning IEEE Published

Next-Gen Privacy-Preserving AI Framework

A distributed, privacy-preserving machine learning framework designed to train AI models across decentralized consumer and industrial IoT nodes without exposing raw datasets.

Problem Addressed: Data isolation, privacy leakages, and regulatory barriers in distributed IoT and financial intelligence.
Technical Implementation: Designed decentralized model training and secure aggregation pipelines. Integrated Differential Privacy, Homomorphic Encryption, and Secure Multi-Party Computation (SMPC).
Federated Learning Differential Privacy Homomorphic Encryption SMPC Scikit-learn Python
IEEE Paper Repository
Deep Learning & Signal Processing Verified Metrics

Trinetra Anveshaka: UAV Parameter Estimator

A deep learning framework engineered for accurate UAV kinematic parameter estimation (Range, Velocity, and Direction of Arrival) in high-noise environments.

Problem Addressed: Degradation of UAV signal tracking under extreme noise and atmospheric interference.
Technical Implementation: Constructed 1D/2D CNN architectures enhanced with multi-head attention fusion for resilient signal feature extraction. Optimized inference pipelines for low-latency telemetry analytics.
RMSE: 0.09m · MAE: 0.12 m/s · DOA Error: 0.06°
PyTorch CNNs (1D & 2D) Multi-Head Attention Signal Processing NumPy
Repository
Computer Vision & Edge AI IEEE Published

Project N: Women Safety & Analytics Tool

A lightweight, IoT-compatible edge computer vision pipeline designed for real-time situational analysis and emergency gesture detection.

Problem Addressed: Real-time safety monitoring on low-power edge hardware with minimal latency and high gesture reliability.
Technical Implementation: Implemented vision processing and gesture detection with OpenCV and Intel OpenVINO toolkit. Optimized model inference runtime for constrained IoT edge devices with automated alert dispatching.
Computer Vision OpenCV Intel OpenVINO Edge AI IoT Telemetry
IEEE Paper Repository
Multimodal AI & RAG Prototype

RAGarden: Context-Driven Multimodal Floriculture RAG

A multimodal retrieval-augmented generation application integrating joint image-text embeddings for context-aware botanical identification and diagnostic querying.

Problem Addressed: Standard text-only LLMs failing to diagnose physical botanical species and conditions accurately.
Technical Implementation: Built a multimodal RAG workflow using Meta ImageBind embeddings for cross-modal alignment, KDB.ai vector database for similarity search, and Gemini API for contextual synthesis and structured QA.
Multimodal RAG ImageBind KDB.ai Gemini API Vector Search
Repository
IoT & Telemetry Analytics IoT Architecture

Smart IoT-AI Fluid Leakage Detection System

A sensor-integrated predictive monitoring system coupling IoT telemetry pipelines with statistical machine learning models for early-stage fluid leakage identification.

Problem Addressed: Industrial fluid micro-leakages causing undetected environmental hazards and infrastructural losses.
Technical Implementation: Designed sensor telemetry ingestion architecture with real-time anomaly detection thresholds, informing preventive maintenance workflows.
IoT Analytics Anomaly Detection Time-Series Telemetry Sensor Pipeline
Repository
Generative AI & Code Generation OpenSCAD Engine

LLM-Based Natural Language 3D Modeller

A specialized generative pipeline transforming complex natural language spatial descriptions into parametric OpenSCAD scripts for rapid 3D CAD prototyping.

Problem Addressed: Steep learning curves and high manual effort required to program parametric 3D CAD geometry from scratch.
Technical Implementation: Engineered domain-specific prompt constraints and syntax-validation parsers to guide LLMs into producing valid, manifold OpenSCAD code for 3D printing and spatial modeling.
Generative AI OpenSCAD Prompt Engineering Parametric 3D Python
Repository
Professional History

Work Experience

AI Engineer

Lucidus AI Eduventures · Visakhapatnam, India
Dec 2025 – April 2026
  • Architected and deployed scalable AI and LLM-powered production systems using Python and FastAPI.
  • Developed robust REST APIs, RAG pipelines, and multi-agent AI workflows for intelligent applications.
  • Managed Docker deployments, cloud infrastructure, monitoring, and production workflows across AWS and GCP.
  • Contributed to system optimization, model debugging, version control, and operational maintenance for deployed AI solutions.

Research & Development Intern

CSIR–National Physical Laboratory (Govt. of India) · New Delhi, India
May 2025 – July 2025
  • Developed scalable data pipelines for IoT-based environmental monitoring and sensor analytics systems.
  • Performed exploratory data analysis (EDA) and anomaly detection on large-scale telemetry datasets to inform adaptive thresholds.
  • Worked with cloud storage architectures, distributed processing workflows, and real-time sensor data visualization pipelines.

Machine Learning Intern

LENS Corporation · Gurugram, India
March 2025 – May 2025
  • Applied machine learning and data science techniques to support reliable, user-facing analytical modules.
  • Collaborated with engineering teams to streamline data labeling and dataset curation workflows, accelerating supervised ML cycles.
Academic & Research

Research & Publications

Peer-reviewed publications and conference contributions in artificial intelligence, privacy-preserving distributed systems, and computer vision.

IEEE Published 2025

Multimodal Women Safety and Analytics Using OpenCV and OpenVINO

Conference: 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI)

Authors: Ravinder Singh; Smriti Mahajan; Hiyaa Malik; Sarthak Kumar Vats; Manvi Chhiller; Shreya Rajesh

View on IEEE Xplore
IEEE Published 2025

Federated Learning: Next-Gen Privacy-Preserving AI Framework for Consumer and Industrial Applications

Conference: 2025 Second International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT)

Authors: Ravinder Singh; Smriti Mahajan; Sofia Singh

View on IEEE Xplore
Conference 2026

Next Gen Technology based Privacy Preserving models for Medical Applications

Conference: 2026 3rd International Conference on Advanced Computing Technologies (ICACT)

Research investigating privacy-preserving computation, secure federated aggregation, and confidential medical data processing.

ICACT Conference Presentation
Recognition & Credentials

Leadership & Certifications

Chairperson, IEEE Student Branch

Amity University

Led university-wide technical initiatives, managed executive committees, organized technology symposia, and cultivated student research and innovation programs.

President, Hardly Human AI Club

Amity University

Directed AI-focused collaborative workshops, project incubations, and developer meetups centered on practical machine learning and generative AI workflows.

Hackathon Honors

IISc Bangalore

1st Position — Rhapsody 3.0

March 2025

IIM Bodh Gaya

1st Runner Up

February 2024

IIT Kharagpur

Top 10 in Intel AI Hackathon

December 2024

Professional Certifications

OCI 2025 Certified Generative AI Professional

Oracle · Issued October 2025

  • Large Language Model (LLM) architectures
  • Retrieval-Augmented Generation & Vector Databases
  • OCI Generative AI Service & Cloud Workloads
Verify Certificate

OCI 2025 Certified Data Science Professional

Oracle · Issued October 2025

  • End-to-end Machine Learning Lifecycle
  • Cloud Model Deployment & Pipelines
  • Data Analysis & Scalable Training
Verify Certificate

CCNA: Introduction to Networks

Cisco Networking Academy · Issued July 2025

  • Network Protocols & IP Architecture
  • Switching, Routing & Subnetting
  • Enterprise Network Security Fundamentals
Verify Certificate

ChatGPT Prompt Engineering for Developers

DeepLearning.AI & OpenAI · Issued June 2024

  • System Prompt Construction & Chains
  • Structured JSON outputs and LLM Tool Use
  • Context Window & Reasoning Optimization
Verify Certificate

Let's Build Intelligent Systems Together

I am always excited to discuss engineering roles, applied AI research opportunities, and collaborations in Generative AI, RAG, and scalable machine learning systems.

Get In Touch Download Resume
ravindercjsingh@gmail.com LinkedIn GitHub