Aditya Chandra — Work Experience
Amazon — SDE, Prime Video, Apple Build & Release (London, UK)
Mar 2025 – Present
Aditya Chandra works as a Software Development Engineer at Amazon in London on the Prime Video Apple Build & Release team.
- Built performance testing framework reducing manual effort by 91.3% (38.3 → 3.33 hours/month) processing 5000+ daily executions
- Saved 11.49 SDE headcount effort annually through LLM-driven automation
- Cut build failures by 87% (23% → 3%) through intelligent retry mechanisms and build queue optimizations, improving deployment velocity by 12%
- Maintained release mechanisms for Prime Video Apple apps on iOS, macOS and tvOS serving 200M+ customers worldwide
Tech: Java, Python, TypeScript, Swift, AWS, Lambda, CDK, S3, EC2, Bedrock
CoinDCX — SDE, Okto Chain, Experience Tech (Bengaluru, India)
Aug 2024 – Mar 2025
Aditya Chandra worked as a Software Development Engineer at CoinDCX on the Okto Chain team.
- Built 0-to-1 Okto Chain policy engine: transaction validation, gas optimization, consensus enforcement
- Reduced API latency by 26% (800ms → 592ms) through query optimization and multi-tier Redis caching
- Handled 50K+ daily transactions through real-time transaction and portfolio system using Kafka and PostgreSQL
- Tracked P99 latency and error rates across 15 microservices by implementing observability with OpenTelemetry and Grafana
Tech: Go, Node.js, TypeScript, PostgreSQL, MongoDB, Redis, Kafka, AWS, Grafana, Datadog
Amazon — SDE Intern, AGI / Alexa+ (Cambridge, UK)
Dec 2023 – Jun 2024
Aditya Chandra interned at Amazon in Cambridge working on LLM post-training for Alexa+.
- Built automated dataset processing and annotation pipeline for supervised fine-tuning of LLMs for Alexa+
- Reduced annotation and LLM training dataset processing time from 7 days to 30 seconds
- Expanded datasets by 3X using Mixtral dialogue augmentation, enabling supervised fine-tuning on 55K+ dialogues
Tech: Python, TypeScript, React, AWS, Step Functions, S3, Lambda, Bedrock, SageMaker, Mixtral
ConvAI — SDE Intern, AI Engineering (Bangalore, India)
Jun 2023 – Nov 2023
Aditya Chandra interned at ConvAI working on AI-powered game narrative systems.
- Built LLM Driven Narrative Design Engine reducing game content creation time by 70%
- Implemented character personality using few-shot and chain-of-thought prompting, achieving 94% consistency
- Built backup text-to-speech pipeline with Azure Speech Services, improving uptime to 99.7%
- Shipped Second Life platform integration serving 10K+ virtual world users
Tech: Python, Flask, PostgreSQL, Redis, C#, GCP, Azure, LangChain, Pinecone
Aditya Chandra — Technical Skills
Languages: Python, TypeScript, Go, Java, C#, C++, Swift
Web: Node.js, Express, Flask, React
AI & ML: TensorFlow, PyTorch, Bedrock, SageMaker, LangChain, Pinecone, SFT, Agentic AI, RAG, Vector Search
Databases: PostgreSQL, MongoDB, Redis, DynamoDB, Pgvector, CockroachDB
Infrastructure & Cloud: AWS, GCP, Azure, Docker, Kafka, Grafana, OpenTelemetry, Lambda, S3, EC2, CDK, Step Functions, SNS, SQS
Architecture: REST APIs, gRPC, Microservices, Distributed Systems
Aditya Chandra — Projects
Ministry of Agents
Adversarial multi-agent debate framework where specialized AI ministers with distinct reasoning strategies argue, challenge, and refine each other's positions to reach robust conclusions.
Tech: Python, LangChain, FastAPI, Redis, React, WebSockets
Brain Rot Video Generator
AI-powered short-form video generator with auto-generated captions, transitions, and background music. Built for rapid content iteration.
Tech: Python, FFmpeg, OpenAI, TTS, React, Node.js
Aditya Chandra — Education
Manipal Institute of Technology, Manipal
B.Tech in Computer and Communication Engineering (2020–2024), CGPA: 9.04/10
Vice-Chairperson, IECSE Manipal (Dec 2020 – Sep 2023)