Aryan Agrawal
Open to work2 years experienceBackend Software Engineer
Backend Software Engineer with 2+ years of experience in distributed systems and microservices.
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Skills & Technologies
42 skillsGitHub Activity Evidence
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Work Experience
Software Engineer — Founding Engineer
Craft AI
- Co-architected two campaign orchestration platforms from inception, powering lead ingestion, workflow execution, call automation, and post-call engagement for enterprise customers.
- Scaled platform throughput 20x (50K → 1M+ calls/day) by redesigning distributed processing pipelines and backend services without sacrificing production reliability.
- Owned enterprise delivery end-to-end, shipping workflow automation, AI copilot, SMS automation, and CRM integrations in direct partnership with stakeholders using Agile delivery practices.
- Built high-accuracy data extraction and transformation pipelines with unit-tested, event-driven components for automated processing of large-scale, heterogeneous customer datasets.
- Established CI/CD, production observability, and error monitoring (Sentry), improving deployment velocity and cutting production debugging time.
Software Engineer — Backend
Nurix AI
- Cut end-to-end voice-agent latency by 65% (3–4s → 1.3s) on Nurix's VoiceX platform via streaming architectures, caching, and pipeline optimizations.
- Designed asynchronous STT → LLM → TTS orchestration pipelines using event-driven, message-queue-based design, powering low-latency voice agents handling 100K+ monthly calls.
- Unified Plivo, Exotel, Twilio, and Ubona behind a single telephony abstraction layer, applying clean design patterns to support 50K+ daily calls at 99.5%+ reliability.
- Built a RAG pipeline using LangChain and Pinecone for context retrieval within the voice-agent LLM pipeline, improving response relevance and grounding in real-time conversations.
- Led backend for Aditya Birla Capital's voice automation platform, scaling from pilot to 2M+ calls/month under strict SLA and latency targets.
- Architected a graph-based workflow engine with reusable nodes and dynamic transitions, reducing workflow creation effort by 50–60%.
- Improved system reliability through distributed tracing, retry mechanisms, code reviews, and auto-recovery workflows, reducing production incidents by 30%.
Projects
Image-to-Image Translation using CycleGAN
- Implemented CycleGAN with generator–discriminator networks and adversarial, cycle-consistency, and identity losses.
- Designed preprocessing and training pipelines (normalization, augmentation, batching) for stable, high-quality translations.
- Produced realistic horse→zebra domain transfers, demonstrating understanding of generative models and image translation.
ML Analysis of Diffusing Particles
- Built a 1D CNN to classify Brownian motion trajectories (FBM vs CTRW) using DeepTrack-generated synthetic data.
- Developed evaluation scripts and tuned hyperparameters to improve accuracy on noisy trajectories.
- Analyzed motion types across varying noise levels, highlighting statistical differences between FBM and CTRW patterns.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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About Details
Professional Bio
Backend Software Engineer with 2+ years of experience designing and scaling distributed systems, microservices, and low-latency, event-driven architectures. Proven track record of scaling platform throughput 20x and cutting production latency by 65% in high-traffic, real-time systems.
B.E. (Hons.) Computer Science & M.Sc. (Hons.) Physics
BITS Pilani, K.K Birla Goa Campus (2020 - 2025)