Devansh Devagya

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI-driven data engineering and streaming solutions.
Proven track record in optimizing high-performance systems.
Strong background in software development and integration.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Media & Entertainment and Fintech.

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Skills

Core Skills

Ai/mlCloud EngineeringData EngineeringStreaming OptimizationStreaming TechnologyUser Experience DesignSoftware DevelopmentData Management

Other Skills

AI/ML (Bedrock, LLMs)AWS Data EngineeringAWS GlueAdvance javaAkkaAlgorithmsAmazon BedrockAmazon QAmazon Q for businessAmazon RedshiftApache KafkaBootstrapBug FixingC (Programming Language)CI/CD Automation

Experience

4 yrs 9 mos

Total Experience

2 yrs 4 mos

Average Tenure

4 yrs

Current Experience

Warner bros. discovery

2 roles

Senior Software Engineer

Promoted

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

JavapythonAI/ML (Bedrock, LLMs)Cloud-native (Kubernetes, Docker)Observability (Grafana, Prometheus)Databases(Postgres, Redshift, Neo4j)+5

Software Engineer 2

Jun 2022 – Sep 2025 · 3 yrs 3 mos · Bengaluru, Karnataka, India

AI & Data Engineering Initiatives:
1. Build LLM powered features using Amazon Bedrock for SQL Generation and summarization with advanced prompt engineering.
2. Collaborated on AI-driven data aggregation using Amazon Q, Glue, and Redshift.
3. Integrated advanced models (Amazon Titan Embeddings, Claude Sonnet v2) for semantic data analytics.
Manifest Filtering Service (MFS) & Platform Optimization:
1. Built a scalable MFS for high-performance manifest filtering (up to 2MB), boosting streaming efficiency and reducing latency.
2. Engineered modular core libraries, implemented structured logging and real-time observability (Grafana, Prometheus).
3. Developed comprehensive testing pipelines (unit, integration, load). Drove stability via rapid P0 bug resolution.
Result: Faster content delivery, seamless playback, and optimized CDN egress at global scale.
Massive Scalability:
1. Enabled horizontal scaling with stateless microservices and autoscaled cloud infrastructure.
2. Supported 2.5M+ concurrent users, maintaining high availability and sub-second latencies during peak loads.
Innovation in Streaming Protocols:
1. Led DASH patch update PoC for ROKU—one of the few platforms (with Hulu) to enable this. Enhanced platform agility and device support.
2. Implemented VMAP in live streaming, improving ad scheduling/monetization for live broadcasts.
User Experience Improvements:
1. Delivered kids bumper insertion in DASH VOD, ensuring age-appropriate, engaging streams.
2. Built global mnemonic promo scheduling (Presto/MSCs), allowing seamless content updates worldwide.
Incident Response & Reliability :
1. Proactively resolved high-priority bugs during live launches, ensuring uninterrupted service and top-tier reliability.
Key Tech Stack:
Java, python, AI/ML (Bedrock, LLMs) , Cloud-native (Kubernetes, Docker), Observability (Grafana, Prometheus), Databases(Postgres, Redshift, Neo4j), Streaming (DASH), CI/CD Automation, AWS Data Engineering.

Data MigrationLoan Management SystemIntegrationBug FixingSupportSoftware Development+1

Finvolv

2 roles

Associate Software Developer

Jan 2022 – Jun 2022 · 5 mos

Worked as a software developer with the implementation team on Loan Management System (Lend.in) for LendingKart.
Developed script for migration client’s data to LMS.
Worked on integrating client’s loan originating system with loan management system.
Designed schedulers and bulk uploads functionalities for various flows in distributed environment.
Implementation of processes, bug fixing and support for existing modules.