Open to collaborations

DhiranReddy

Associate Backend & AI Engineer @ Unisys

Backend & AI engineer specializing in NestJS & Python.

Building scalable microservices and agentic platforms.

Based in Bengaluru, designing secure, low-latency APIs.

Published researcher in Quantum Neural Networks.

Selected

2023–2026

Works

Featured project

01 //

FastAPI RAG Multi-tenant

Atlas — AI Document Intelligence

Multi-tenant RAG SaaS platform: document ingestion (PDF, DOCX, MD, CSV), hybrid vector + lexical retrieval, conversational Q&A with confidence scores and source citations. Auth0 OAuth, Razorpay subscription billing.

6 file formats Hybrid retrieval Source citations

Live Demo ↗ API Docs ↗

The live demo may take up to 60 seconds to wake. API documentation can be temporarily unavailable during backend restarts.

Vector Daily pipeline aggregating news sources, applying AI analysis, and distributing personalized digests

02 //

FastAPI LLMs Pipeline

Vector Daily — AI News Aggregator

Automated pipeline ingesting RSS, YouTube, and web sources. LLM summarization, categorization, and relevance scoring. Personalized digests via Telegram, Slack, Discord, and email. 40+ endpoint REST API.

40+ endpoints 4 delivery channels LLM evaluation

Live Demo ↗ API Docs ↗

Hosted on Render; the first load may take up to 60 seconds.

03 //

NestJS LLMs Microservices

Voyanta — AI Travel Planner

Microservices-driven AI travel planner. Leverages LLMs to curate complex, dynamic itineraries tailored to user preferences, with real-time optimization and personalized recommendations.

Computer vision hand gesture recognition interface

04 //

Python OpenCV Computer Vision

Hand Gesture Recognition

Real-time computer vision system that recognizes physical hand gestures and maps them to desktop controls, enabling responsive hands-free interaction.

Professional

Timeline

Associate Software Engineer – Backend & AI

Aug 2025 – Present

Unisys • Bengaluru, KA

Designed and built all 5 production agents of a live agentic SDLC product: project onboarding, issue creation, README generation, dependency upgrades, and targeted code fixes — every workflow ending in an automated pull request.
Implemented plan-approve-execute human-in-the-loop workflows; exposed as MCP servers usable from VS Code, Slack & Teams. Rolled out to ~10 engineering teams on Azure AI Foundry, Azure OpenAI & Function Apps.
Built an authentication service with RBAC on Microsoft Entra ID and NestJS AI middleware enforcing per-user rate limits and quotas across org AI apps.
Delivered Salesforce integrations (Paymentus payments, Google Analytics, IDIS), Azure Blob archival pipeline, and a log analytics dashboard.

CA&I Intern – Backend Developer

Oct 2024 – Aug 2025

Unisys • Bengaluru, KA

Built a RAG system for natural-language querying of internal docs (Python, LangChain, vector database) and middleware tracking AI API usage per user and per project.
Resolved critical DB performance issues causing production failures on a reusable component platform of 150+ APIs.
Built and secured REST APIs (Node.js, NestJS, Python) with bearer-token auth and guards; managed Docker deployments, fixed production bugs, and authored Swagger/OpenAPI docs.

Academic Publications

Towards a Nuanced Sentiment Analysis: A Novel Hybrid Approach to Aspect-Based Insights

Springer Nature / IEEE

Introduced a hybrid BERT + LSTM deep learning model for sentence aspect classification and granular opinion mining in natural language documents.

Enhancing Neural Networks with Quantum Computing

Springer Nature / IEEE

Investigated hybrid Quantum Neural Networks (QNN) architectures that run quantum layers alongside deep learning parameters to optimize processing performance.

Technical

Capabilities

01 /

Languages

Python TypeScript JavaScript SQL C / C++

02 /

Frameworks & AI

NestJS Node.js FastAPI Django Agentic AI MCP Servers LangChain Azure OpenAI RAG / Hybrid Search LLM Evaluation Scikit-Learn TensorFlow

03 /

DB & Cloud

PostgreSQL MongoDB Azure AI Foundry Azure Function Apps Azure Blob / VMs Microsoft Entra ID Vector Databases Render

04 /

Tools & Systems

Docker Git Swagger / OpenAPI Slack & Teams APIs Salesforce Integration Razorpay Webhooks Auth0 / OAuth

Personal

Story

"Bridging the cooperative leadership of a cricket pitch with complex architectural algorithms."

I graduated with Honors in Artificial Intelligence & Machine Learning from New Horizon College of Engineering, achieving a CGPA of 9.62/10 (Department Rank 2). During my studies, I was chosen as an NVIDIA Jetson Student Ambassador, driving Edge AI, CUDA, and hardware workshops for over 120+ student peers.

Outside of development sprints and deep-learning training jobs, I have a deep passion for sports. I represented Karnataka's KYCA cricket league as the Captain of the u16 Cricket Team. I bring that same level of strategic thinking, execution, and collaborative team captaincy into building microservices and working in tech teams.

Recognition