Jash Radia

Senior Software Engineer

Pune, Maharashtra, India6 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Drove 10x growth in AI adoption at DoorDash.
Reduced inference costs by 55% while improving accuracy.
Mentored emerging data engineering talent.

Stackforce AI infers this person is a Data Engineering and AI specialist in the SaaS industry.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Generative AiData EngineeringCloud Computing

Other Skills

Large Language Models (LLM)Amazon Web Services (AWS)LangChainLangGraphOpenAIKubernetesCockroachDBRedisGoogle Cloud Platform (GCP)SnowflakePython (Programming Language)Microsoft AzureApache SparkSQLBig Data

About

Core Senior Dev of DoorDash’s multi-agent AI ecosystem (LangGraph, MCP, A2A). Drove 10x adoption and cut inference costs by 55%, while boosting accuracy and reliability by 15%. I specialize in building self-correcting agents, custom agentic RAG pipelines, and self-serve platforms that empower non-technical teams to leverage Generative AI focusing on accuracy optimizations and evaluations. I was in the AI team at Google cloud as a Data + AI Engineer and I love real world problem solving using data and technology. I have had the opportunity to work on some of latest big data technology stack on AWS, Azure and GCP and prospect technologies like Kubernetes, Snowflake, Spark and more with multiple clients in my experience as a data engineer. I have also had the opportunity to mentor some bright new minds in the industry, which is very fulfilling! 3 words: learn, adapt and achieve.

Experience

6 yrs 8 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 10 mos

Current Experience

Doordash

Senior Software Engineer GenAI

Jul 2024 – Present · 1 yr 10 mos · India · Remote

Core Architect and Dev of DoorDash’s Multi-Agent Ecosystem: LangGraph-based platform, driving 10x growth in internal adoption across Sales, Data, and Engineering. Based on OpenAI's reasoning models.
Cost & Performance Optimization: Developed custom business context-aware chunking algorithms that reduced inference token costs by 55% while boosting accuracy by 15%.
Self-Correcting AI: Engineered feedback loops for agent memory and automated evaluation frameworks to detect hallucinations, improving agent reliability by 15%.
Democratizing AI: Currently building a self-serve platform to enable non-technical teams to build and deploy agents at scale.

Large Language Models (LLM)Data EngineeringArtificial Intelligence (AI)Amazon Web Services (AWS)Cloud ComputingGenerative AI+6

Google

2 roles

AI Engineer

Apr 2023 – Jul 2024 · 1 yr 3 mos · Pune, Maharashtra, India

Contributing to Conversational Al Insights product with the help of various NLP and LLM and classification models with aim of improving contact centre experience and enabling Insights.
Gathering feedback for Pre-GA features from early adaptors of GCP enterprise customers and help improve the product as a part of the incubation team.

Data Engineer

Jul 2022 – Apr 2023 · 9 mos · Pune, Maharashtra, India

Enabling GCP customers’ cloud transformation journey by Designing the Data Pipeline solutions using services like
GCS, Composer, SQL, Spanner, Pub/Sub, Big Query, Data Flow, Dataplex and more
Enhancing the product monitoring capabilities of Dialogflow Conversational AI by creating end to end ETL pipeline
with SQL transformations capturing containment rate, intent, flow and more for PMs and Leaders
Building the Dataplex Generative AI feature that suggests queries on frequently queried and dark data on BigQuery
and help users with data modelling and analytical capabilities

Amazon Web Services (AWS)Google Cloud Platform (GCP)SnowflakePython (Programming Language)Microsoft AzureApache Spark+4

Topmate.io

Data Engineering Mentor

Oct 2022 – Present · 3 yrs 7 mos

Providing 1:1 Mentorship on Data Engineering, Career Guidance, Mock Interviews and Resume advice.

Youtube

Content Creator

Aug 2022 – Present · 3 yrs 9 mos

Sharing my experiences about Data Engineering, Tech and more

Zs

2 roles

Senior Data Engineer

Jul 2021 – Jun 2022 · 11 mos

Led a team that built a Snowflake based configuration driven and logging enabled Data Processing platform on
AWS and Azure utilizing features like Stored Procedures, Data Exchange and Sharing, Fine Grain security and
Airflow/ADF as orchestrator
Bagged over 2 million USD in projects with multiple clients that ended up using the Snowflake and Databricks
framework we created on AWS and Azure
Incubated ideas and demos to destroy data silos and implement a Data Mesh that works with any cloud
platform using Collibra as a Data Catalog, Starburst as a virtualization layer and Immuta for federated
governance
Managed task and project planning and mentored teams with HLD, LLD for building enterprise data ingestion
and processing solutions using AWS (EMR/Glue with Airflow), Azure (Databricks with ADF) and Snowflake for
clients
Improved performance existing Databricks pipeline on Azure by 30% using ADF, Azure Functions and Azure
DevOps

Data Engineer

Jul 2019 – Jun 2021 · 1 yr 11 mos

Transformed the data landscape for multiple AWS based clients by building end to end enterprise big data ingestion
and processing solutions using PySpark and SQL complex transformations and DQM validations.
Significantly contributed to Data modelling, STTM (source to target mapping), design documents for all client
projects to ensure highest quality of deliverables
Bootstrapped ZS' findings on running Spark on EKS well before it was bundled with AWS as a part of R&D team. Also
created monitoring dashboards for Spark jobs on EKS using Prometheus and Grafana
Migrated traditional on-prem ETL/ELT pipelines to AWS cloud using technologies like EMR for compute, RDS for
audit, Airflow, Control - M for orchestration and S3/ADLS for storage, Dataiku for ML-Ops

Bosch engineering and business solutions

Blockchain Intern

Jan 2019 – May 2019 · 4 mos · Bengaluru Area, India

Worked on developing a test bed for permissioned blockchain frameworks like Quorum, Hyperledger Fabric and Sawtooth. Also developed Ethereum light node on Raspberry Pi with wallet(s) flashed on Arduino(s).

Cygnet infotech

Blockchain and AI Intern

May 2018 – Jun 2018 · 1 mo · Ahmedabad Area, India

Worked on recommendation system through AI on podcasting application and Developed a supply chain management application on BigChainDB, a Blockchain framework.