Ashutosh Bhardwaj

AI Researcher

Delhi, India3 yrs 7 mos experience

Key Highlights

Built ML-driven ad-tech platforms improving ROAS by 25%
Engineered real-time bidding pipelines processing 10M+ impressions daily
Developed personalized search services for 160M+ users

Stackforce AI infers this person is a Backend Engineer with expertise in AI/ML systems and scalable architecture.

Contact

ashutosh@docnexus.ai LinkedIn

Skills

Core Skills

Machine LearningBackend DevelopmentMicroservicesMonitoringFull Stack Development

Other Skills

Python (Programming Language)Back-End Web DevelopmentGogRPCMongoDBPrometheusGrafanaDockerEKSReact NativeNode.jsAPI optimizationsCaching strategiesDeep LearningTensorFlow

About

I’m a Senior Backend Engineer and IIT Delhi graduate with 3+ years of experience in AI/ML systems, scalable data pipelines, and cloud infrastructure. At Collectcent, I built ML-driven ad-tech platforms that improved ROAS by 25% ($2M+ impact) and engineered real-time bidding pipelines processing 10M+ impressions daily. Previously at JioSaavn, I developed personalized search and Indic transliteration services for 160M+ users. Skilled in Python, Go, Spark, and AWS, I thrive on solving problems of scale and delivering business impact through intelligent, reliable systems.

Experience

3 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

7 mos

Current Experience

Docnexus

Machine Learning Engineer

Oct 2025 – Present · 7 mos · Dallas, Texas, United States · Remote

Python (Programming Language)Back-End Web DevelopmentMachine LearningBackend Development

Jackpot.bet

Senior Developer

Apr 2025 – Jun 2025 · 2 mos · Remote

Architected high-throughput Go microservice using Gorilla Mux and gRPC, successfully ingesting 500M+ events daily. Implemented versioned REST API and Docker-based EKS pipeline, reducing deployment time from 45 minutes to under 10 minutes. Optimized MongoDB cluster performance through strategic re-sharding of 1B+ document database, improving query p99 from 1.8s to 300ms. Established comprehensive monitoring using Prometheus/Grafana, achieving zero critical alerts during MVP launch window. Mentored 3 junior engineers on Go concurrency patterns and best practices, boosting team sprint velocity by 15%.

GogRPCMongoDBPrometheusGrafanaDocker+3

Nextdoordukaan

Full Stack Engineer

Feb 2024 – Jun 2025 · 1 yr 4 mos

Co-founded hyperlocal marketplace platform connecting 1,000+ users with 50+ local shopkeepers for on-demand grocery delivery. Led full-stack development using React Native and Node.js, delivering MVP in 6 months with zero downtime. Designed real-time inventory management system and admin dashboard, reducing order processing time by 40%. Implemented advanced caching strategies and API optimizations, improving system performance by 30%. Scaled platform to handle 500+ daily orders during peak periods while maintaining 99.9% uptime.

React NativeNode.jsAPI optimizationsCaching strategiesFull Stack DevelopmentBackend Development

Jiosaavn

Software Engineer

Jun 2022 – Feb 2024 · 1 yr 8 mos

Developed deep learning microservice for personalized search, serving 160M+ active users with 99.99% availability. Led end-to-end ML pipeline implementation from data generation to TensorFlow model deployment with zero-downtime releases. Built real-time transliteration microservice supporting 13+ Indic languages, improving search accessibility by 45%. Optimized Airflow data processing pipelines, increasing metadata ingestion efficiency by 40% and reducing processing time by 3 hours daily. Designed comprehensive reporting and analytics pipelines, contributing to 20% improvement in search result relevance.

Deep LearningTensorFlowAirflowData ProcessingMachine LearningBackend Development