Aditya Goel

AI Researcher

Bengaluru, Karnataka, India3 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered high-precision AI solutions for enterprise data access.
Innovated telemedicine technology for remote patient diagnostics.
Contributed to open-source projects enhancing data processing efficiency.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with a focus on AI and IoT solutions.

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Skills

Core Skills

Software DesignLarge Language Models (llm)Apache SparkJavaInternet Of Things (iot)

Other Skills

Apache CalciteArtificial Intelligence (AI)Big DataBlockchainC (Programming Language)C++CommunicationData MiningData ScienceDjangoFTPGo (Programming Language)Hypertext Transfer Protocol (HTTP)LeadershipLinux

About

I'm a Software Engineer with a passion for building AI-powered systems that solve real-world problems. I graduated from IIT Delhi with a B.Tech in Computer Science and currently work at Converj, where I design and deploy large-scale GenAI solutions—from natural language to SQL pipelines to intelligent document processing tools. Beyond work, I enjoy creating products from scratch. I independently built SurveyExpert.ai, an LLM-based platform that automates survey creation for consultants, now being piloted by teams at Bain & Co. I’ve also contributed to open-source projects like Apache Wayang, optimizing data processing interfaces for distributed systems. My interests lie at the intersection of backend engineering, GenAI, and intelligent automation. I enjoy rapid prototyping, working across the stack, and turning fuzzy ideas into working systems. If you're working on something interesting in AI or backend infrastructure, I’d love to connect!

Experience

Storylane

AI Engineer

Jul 2025 – Present · 8 mos · San Francisco Bay Area · Remote

Converj

Software Engineer

Aug 2024 – Jul 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

Built & deployed a Vertex AI–hosted chatbot, architecting a hybrid RAG + LLM-driven text to SQL pipeline to empower non-technical users with NL access to 30 GB+ of enterprise data, delivering 85% retrieval precision
Engd an LLM-based invoice data extraction system using OpenAI APIs, combining fine-tuned agents with rule based logic to extract data from PDFs, achieving 97.5% average field accuracy and 81.3% full-invoice accuracy
Designed a predictive analytics tool for Converj to identify high-impact customers by modeling improvements in financial metrics (e.g., ROCE, Cash Flow, DSO) post-product adoption & correlating them with stock performance
Developed a high-performance backend service to automate invoice–payment reconciliation, reducing manual effort by 98% through intelligent heuristics, ERP integration, and modular, compliance-ready design

Software DesignGo (Programming Language)Python (Programming Language)Large Language Models (LLM)Microservices

The apache software foundation

Contributor, Apache Wayang Open Source Project

Jul 2023 – May 2024 · 10 mos · Remote · Remote

Built DataFrame API in Wayang, providing a unified interface for distributed data processing and Spark-like UX
Optimized the SQL API for unified, distributed and cross-platform data processing, improving efficiency by 8%
Used Apache Calcite to parse, optimize SQL queries before translating them to an atomic Wayang Execution plan

JavaScalaPostgreSQLApache SparkApache Calcite

Plaksha university

Software Engineer Intern, Telemedicine ECG Project

May 2023 – Jul 2023 · 2 mos · Chandigarh, India · On-site

Innovated a cost-effective, mobile 3-lead ECG device with telemedicine capability, achieving 95% heart rate accuracy
Engd a cloud-based MQTT broker enabling doctors to diagnose patient ECGs remotely, advancing telemedicine
Employed an ESP32 module powered by a battery as a client for publishing patient data via Bluetooth or MQTT

Socket ProgrammingCommunicationLeadershipInternet of Things (IoT)