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Kartik Saini

@kartiksaini

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Software developer specializing in backend systems, ML, and generative AI integrations.

India

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What I'm looking for

I am seeking a backend or ML-focused role where I can build scalable, production ML and event-driven systems, collaborate cross-functionally, and deliver measurable operational improvements.

I am a software developer with hands-on experience building backend systems, event-driven architectures, and ML-powered services for industrial and telecom domains. I design robust APIs, state machines, and real-time telemetry pipelines, and I implement production-ready ML/RAG solutions that improve observability and automate root-cause analysis.

At Mentor Instruments I built control software for an automatic pouch-packing machine, industrial weighing firmware, and a Conversational AI Inventory Assistant, improving operational efficiency and reliability. At Ericsson I integrated RAG into the ERCA system, migrated logging pipelines to Azure Log Analytics, and developed predictive models to detect network faults, achieving large execution-time and debugging-effort reductions.

I thrive on cross-functional collaboration, pragmatic system design, and delivering measurable improvements through automation, scalable data pipelines, and reliable ML deployments. I seek roles where I can continue to apply backend engineering, distributed systems, and generative-AI expertise to solve real-world problems.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

Mentor Instruments India

Sep 2024 - Present (1 year 5 months)

Designed and implemented control software for an automatic pouch-packing machine with an event-driven state machine and developed firmware for an industrial digital weighing scale; built a Conversational AI Inventory Assistant and backend BMS telemetry systems to improve operational efficiency.

Python Event Driven Architecture MQTT SQL Firmware Development Telemetry RESTful APIs

Software Developer

Ericsson Global India Pvt. Ltd.

Sep 2023 - Sep 2024 (1 year)

Integrated a RAG framework with ERCA for context-aware root-cause summarization, migrated logging pipelines to Azure Log Analytics (reducing manual debugging by 80%), and built ML models and optimized pipelines to predict network faults and cut execution time by 60%.

RAG Pyarrow Pandas scikit learn Azure Fluentd RESTful APIs Docker Observability

Software Developer Intern

Ericsson Global India Pvt. Ltd.

Feb 2023 - Aug 2023 (6 months)

Implemented certificate-based VM authentication for secure JWT issuance and containerized data-processing services using Docker, deploying pipelines on Azure Linux VMs to improve reliability and maintainability.

Docker Azure JWT Containerization Linux CI CD Data Pipelines

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science and Engineering

2019 - 2023

Grade: CGPA: 8.43

Activities and societies: Studied topics including Python, Flask, FastAPI, REST APIs, Docker, Kubernetes, CI/CD, Microservices, Machine Learning, TensorFlow, PyTorch, LangChain, RAG, Azure, AWS, SQL/NoSQL, Kafka, Airflow, Redis, NLP and event-driven systems.

Completed a Bachelor of Technology in Computer Science and Engineering with a focus on software engineering, machine learning, and cloud technologies, achieving a CGPA of 8.43.