Open to new opportunities

Dinesh Choudhari

Software Engineer crafting production-grade Generative AI and full-stack applications at scale. Building intelligent systems that serve over 1 million profiles and transform how analysts work.

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About Me

Engineering AI systems
that scale.

I'm a Software Engineer with 2+ years of experience turning complex AI concepts into production-ready applications. At Aissel Technologies, I architect and ship Generative AI platforms that directly impact how Medical Affairs Analysts operate — delivering a 90% improvement in efficiency.

My expertise spans the full stack — from designing RAG pipelines and multi-agent orchestration with Google ADK and LangGraph, to building performant backends with Laravel and Node.js, to crafting polished frontends with Vue.js and React.

I take complete ownership of everything I build — from architecture and system design to deployment and production migrations. I've led teams, shipped 0-to-1 products, and single-handedly executed critical platform migrations.

Full-Stack & AI

Team Leadership

System Architecture

0 → 1 Products

Experience

Where I've made impact.

A track record of building scalable systems, leading teams, and shipping AI-powered products from the ground up.

Aissel Technologies

Member of Technical Staff

June 2024 – Present

Hubli, Karnataka

AI-Powered KOL Research Platform

Architected an AI-powered Key Opinion Leader (KOL) research platform using Google ADK, enabling intelligent retrieval and synthesis across 1M+ profiles spanning events, affiliations, clinical trials, publications, and payments.

Engineered persona-driven AI customization that adapts responses based on user preferences, delivering highly relevant research insights to Medical Affairs Analysts. 90% efficiency gain

Integrated Langfuse for end-to-end AI observability and real-time interaction tracing, ensuring transparency and debuggability across the entire agent pipeline.

Analyst Configuration Platform

Led a team of 3 engineers to design and build a Filament PHP-based Analyst Configuration Platform from scratch — covering architecture, development, and deployment.

Built configurable client data management, application settings, and workflow management with a customizable menu and component system featuring sorting, client-, role-, and user-level controls.

Designed a scalable queue-based import/export framework for high-volume data processing, ensuring reliable handling of large datasets across the platform.

Customer Experience & Search

Built the customer-facing application using Vue.js and Laravel — delivering AI-generated visualizations, public chat sharing, pinned conversations, chat history, task notifications, and real-time KOL insight exploration.

Designed an optimized facet-based filtering backend API supporting exploration across 1M+ KOL records with 10+ filtering dimensions. 50% faster queries

Integrated AWS Bedrock for LLM access and containerized all services using Docker, consolidating AI billing with existing AWS infrastructure.

Website Migration

Single-handedly migrated the organization's website from CodeIgniter to Astro, achieving an 80% reduction in page load time, 50% improvement in Core Web Vitals, improved SEO, faster image loading, and site-wide search. 80% faster loads

Qualcomm Technologies

Software Intern

May 2023 – July 2023

Hyderabad, Telangana

Driver Debugging & Performance Tools

Developed a Windows Debugger Extension for QCPPX driver debugging, streamlining the investigation of complex driver-level issues.

Built an MHI Log Analyzer for PCIe performance debugging, significantly reducing the time required for PCIe issue investigation and root-cause analysis.

Projects

What I've built.

Featured projects showcasing end-to-end engineering, from AI-powered backends to polished user experiences.

Featured Project

Next.js TypeScript PostgreSQL Prisma OpenAI API Google ADK Web Speech API Tailwind CSS

AI-Powered Autonomous Interviewer

An AI-driven voice-based interviewing platform that conducts real-time technical interviews and evaluates candidates against job-specific criteria. Features voice-to-voice conversations, AI-powered candidate scoring, and a comprehensive recruiter analytics dashboard.

Voice-to-voice conversations

Real-time speech recognition

AI evaluation & scoring

Recruiter dashboard

Interview transcripts & playback

Secure auth via NextAuth

Technical Highlights

Integrated Deepgram for low-latency speech-to-text processing
Used Web Speech API for conversational voice interactions
Implemented Server-Sent Events (SSE) for real-time communication
Built recruiter analytics with transcripts, scoring, and playback

Skills

My toolkit.

Technologies and tools I use to turn ideas into production-ready systems.

AI & Generative AI

Google ADK LangGraph Langfuse OpenAI API AWS Bedrock RAG Pipelines

Languages

C++ Python JavaScript PHP

Backend

Laravel Filament PHP Node.js Express.js REST APIs

Databases

PostgreSQL MySQL ClickHouse MongoDB

Frontend

Vue.js React Next.js Astro Tailwind CSS

Tools & Practices

Docker AWS (Bedrock, EC2) CI/CD Agile / Scrum

Education

Academic foundation.

National Institute of Technology Karnataka

Bachelor of Technology (B.Tech)

Electronics and Communication Engineering

2020 – 2024

CGPA: 7.84

Contact

Let's build something
incredible together.

I'm always open to discussing new opportunities, interesting projects, or ways to bring your vision to life.

dineshchoudhari0808@gmail.com

GitHub

github.com/dineshchoudhari

linkedin.com/in/dineshchoudhari

Phone

+91 99833 95687

Send a Message