Aswath Vinayak K

Forward Deployed Engineer @ CommerceIQ

About

I build AI systems that work in the real world; not just demos and prototypes. My background spans LLM applications, distributed data infrastructure, and production ML. I've architected systems that orchestrate LLMs with knowledge graphs, optimised pipelines processing billions of rows, and built platforms where latency and correctness aren't negotiable. I care deeply about the hard parts: evaluation, cost, reliability, building for scale and mainly: How does this help the end user maximise their potential? Backed by a dual degree in Mathematics & Computer Science from BITS Pilani, Hyderabad, the math isn't incidental. It shapes how I think about algorithms, systems design, and ML from first principles. Toolkit: Python, Java, PyTorch, Apache Spark, Kafka, Redis, Neo4j, AWS, GCP, Kubernetes. I thrive in collaborative environments; pair programming, architecture reviews, and building with teams that take engineering seriously.

Country

India

City

Bengaluru

Industry

Computer Software

Skill

Apache Spark, Node.js, Google Cloud Platform (GCP), Spring Boot, Snowflake, Machine Learning, Amazon Web Services (AWS), React.js, Python (Programming Language), JavaScript, Java, Leadership, Problem Solving

Experience

Forward Deployed Engineer

CommerceIQ

2026-5 - Present · 5 mos

Bengaluru

Helping brands unlock their full potential through agentic workflows and insights! Rapidly building and prototyping for clients, while keeping the capabilities of the product in mind future scope of it

Software Development Engineer II

CommerceIQ

2025-4 - 2026-4 · 1 yr 1 mo

Bengaluru

• Optimized backend APIs by 70% for datasets exceeding 1B rows through improved data structure design. • Architected services using design patterns for maintainability and extensibility. • Achieved ~90% code coverage across 24K LOC production codebase using AI-assisted test generation (GitHub Copilot, LLM tooling). • Designed and built an Insight Generator that transforms raw client data into actionable insights using LLMs integrated with a knowledge graph and graph database for contextual reasoning and explainable outputs.

Software Development Engineer I

CommerceIQ

2023-6 - 2025-4 · 1 yr 11 mos

Bengaluru

• Built a TypeScript service to detect and analyze data discrepancies across multi-squad workflows. Partnered with Product and Customer Success to enhance data quality and optimize Spark pipelines. • Automated data deployment to production, reducing operational workload by 20% and improving team efficiency by 50–60% through process overhauls. • Led cost optimization initiative that cut pipeline costs by 80% and reduced SLAs from 4.5 hours to 20 minutes. • Designed a Command Center using Redis and Kafka to centralize operational workflows and eliminate manual dependencies. Migrated services from Cloud Run to GKE for improved scalability and performance.

Software Development Intern

CommerceIQ

2022-7 - 2023-5 · 11 mos

Bengaluru

• Developed a robust data pipeline using Snowpark (Snowflake) in Java, along with an API service leveraging AWS SQS to manage request queuing and intelligently handle rate limits. • Collaborated closely with Product teams to ensure clients receive accurate and actionable data for a GTM product. • Built a pipeline orchestrated by Step Functions that produces clean datasets powering a scaled predictive model that estimates a company’s market share across categories.

Data Science Intern

HGS HEALTHCARE, LLC

2022-3 - 2022-6 · 4 mos

Bangalore

• Worked on developing a model to extract key-value pairs from medical documents • Used AWS Comprehend to develop the model • Used Python to generate and parse the results

Research Assistant

BITS Pilani, Hyderabad Campus

2021-6 - 2021-10 · 5 mos

Hyderabad

• Analysed computation flow in the MOS 6502 microprocessor to explore applications in computational neuroscience, by attempting to draw similarities between neural pathways and circuits in the microprocessor