Kartik H.

Software Engineer

United States5 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in LLM systems and inference optimization.
Proven track record in building scalable data solutions.
Strong background in high-performance computing.

Stackforce AI infers this person is a SaaS and Fintech expert with a focus on data engineering and machine learning.

Contact

Skills

Core Skills

Distributed SystemsLarge Language Models (llm)Llm SystemsData EngineeringData IntegrationMachine Learning

Other Skills

TerraformLLM Inference OptimizationSQLData ReductionApache KafkaElectronic Trading SystemsRDBMSEvent-drivenData ModelingHigh Performance Computing (HPC)RabbitMQEvent Driven ProgrammingMicroservicesBack-End Web DevelopmentArtificial Intelligence (AI)

About

I’m Kartik, a distributed systems engineer passionate about building scalable and efficient computing systems. My work focuses on designing optimized algorithms and leveraging High-Performance Parallel Computing to push the boundaries of what’s possible. Lately, I’ve been diving deep into LLM systems—exploring ways to reduce the computational cost of training and inference while improving scalability and performance. I believe in making computing faster, more efficient, and accessible to everyone. I’m an active coder, open to collaboration, and always eager to learn, share, and turn ideas into impactful real-world systems. Let’s connect and build something incredible!

Experience

5 yrs 2 mos

Total Experience

1 yr 2 mos

Average Tenure

4 mos

Current Experience

Morph systems

Software Engineer

Jan 2026 – Present · 4 mos · USA · On-site

Building an autonomous engine that converts natural language requirements into fully deployed, production-ready applications.
Automated Deployment Pipelines: Architected the end-to-end infrastructure using Terraform, enabling "zero-touch" app deployment from raw user prompts to live production environments.
LLM Inference Optimization: Led the optimization of the core inference engine, significantly reducing app generation latency and increasing throughput for cross-functional teams.
GenAI Orchestration: Designed the system prompts and component generators that autonomously construct application logic and services.

Distributed SystemsLarge Language Models (LLM)

University of pittsburgh school of computing and information

Graduate Research Assistant

Jan 2024 – Dec 2025 · 1 yr 11 mos · On-site

Streamlined LLM systems for mobile inference, cutting latency and memory overhead.
Investigated power-efficient data reduction for streaming devices with Prof. Panos Chrysanthis, cut data transmission by 20%, resulting in energy savings and extended device runtime.
Researched GPU obsolescence strategies to reduce carbon emissions in LLM deployment; work submitted to IEEE International Conference on Cloud Engineering 2025.

SQLDistributed SystemsLLM Systems

C3 ai

Data Integration Engineer

Aug 2022 – Dec 2023 · 1 yr 4 mos · Bangalore Urban, Karnataka, India · On-site

Mentored all backend engineering interns in Bangalore; supported onboarding, ticket resolution, and early-stage debugging to accelerate team productivity.
Migrated export APIs into tuned Apache Spark-based batch jobs, boosted throughput by 60% and shortened response times.
Designed and deployed enterprise data models using Elasticsearch, NoSQL, PostgreSQL for unified schema.
Developed and maintained scalable RESTful APIs in Python and Java, enabling integration with third-party services and analytics tools.
Leveraged AWS and Azure for distributed data processing, lake orchestration, and secure storage.

Apache KafkaSQLData EngineeringData IntegrationElectronic Trading SystemsRDBMS+15

Goldcast

Data Engineer

Nov 2021 – Jul 2022 · 8 mos · Bangalore Urban, Karnataka, India

Goldcast is a purpose-built platform for B2B field and event marketers to host interactive virtual events like a Netflix show.
Responsible for defining ETL pipelines which scale to multiple use cases.
Designed and built the Analytics service in Django, which calculates and transfer all the metrics data that an event organizer needs of an ongoing event.

Apache KafkaSQLData EngineeringData IntegrationElectronic Trading SystemsEvent-driven+14

Bright money

2 roles

Machine Learning Engineer

Promoted

Dec 2020 – Nov 2021 · 11 mos · Bangalore Urban, Karnataka, India

Primarily involved in creating and maintaining Data Pipelines over Airflow, and Big Data Infrastructure over Sprinkle; Scaled to serve ~20k users daily.
Build the real-time Intelligent Money Flush systems operating on triggers, serving ~20k users; Over Django.
Single handedly build allocation and scheduling service with some part of submission service from scratch.

SQLData IntegrationElectronic Trading SystemsEvent-drivenHigh Performance Computing (HPC)RabbitMQ+15