Saikiran profile photo 2 on Tal
Saikiran profile photo 1 on Tal
Saikiran profile photo 2 on Tal
Saikiran profile photo 1 on Tal

Saikiran

Staff ML Engineer | ex-Cisco | IIT BHU ’19

Hyderabad

7+ years of work experience

Splunk
Aug 20241 yr 9 mosPresent

Brane Enterprises Pvt Ltd
Feb 20213 yrs 7 mosAug 2024

Hyderabad, TG, India

Developer & Architect | AI & System Optimization Generalized Document Extraction Engine Designed a scalable document extraction engine for finance and healthcare domains using a multi-layered architecture (MongoDB, RoBERTa, LLMs, Kafka). Fine-tuned RoBERTa and deployed LLMs with VLLM on A10 GPUs (15 tokens/sec), improving processing speed and accuracy. Architected microservices, optimized EKS pods/nodes, and reduced turnaround time by 50% via memory/CPU profiling. Delivered complete unit testing and functional documentation. Contextual Interaction with Documents Led development of a question-answering system over PDF collections using Retrieval-Augmented Generation (RAG). Enhanced retrieval accuracy through semantic chunking, metadata enrichment, and corrective RAG strategies. Used LLaMA 2, Qdrant, Neo4j, Langchain, and FastAPI to build a performant and contextual document interaction system.
Cisco
Jul 20191 yr 8 mosFeb 2021

India

Auto-scaling in AWS Enhanced auto-scaling capabilities for CISCO ASAv firewall in an IaaS environment by integrating custom metrics via AWS Lambda (Python). Worked extensively with AWS services including EC2, Lambda, S3, EFS, CloudFormation, and ECR to build a scalable and resilient infrastructure. Telegraf–Application Insights Integration (Azure) Integrated vFTD firewall metrics with Azure Application Insights using Telegraf, enabling improved observability and device management. Developed custom input/output plugins for Telegraf in Go, enabling seamless metric ingestion and telemetry analysis.
University of Nebraska-Lincoln
May 20184 mosAug 2018

Lincoln, Nebraska

Research Intern – Deep Learning for Medical Imaging Under Prof. Jitender S. Deogun Designed and implemented a novel architecture for classifying skin lesion images into 7 classes, achieving performance exceeding typical dermatologist accuracy. Explored and applied Variational Autoencoders (VAEs) and GANs to generate synthetic images for low-data scenarios, enhancing model generalization and robustness.
Indian Institute of Science (IISc)
May 20173 mosJul 2017

Bengaluru, Karnataka, India

GitHub
@kira-heisenberg

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering

Indian Institute of Technology (Banaras Hindu University), Varanasi

20154 yrs2019
FIITJEE

FIITJEE

20104 yrs2014

Join Saikiran and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Saikiran on Tal

Headline

Staff ML Engineer | ex-Cisco | IIT BHU ’19

About

As a Senior Machine Learning Engineer at Splunk, I leverage my expertise in computer science and algorithms to develop innovative solutions that enhance the performance and efficiency of machine learning models. With over 6.5 years of experience in this role, I have successfully contributed to multiple projects, delivering high-quality results. In addition to my current role, I have also worked as a Machine Learning Engineer II at Brane Enterprises Pvt Ltd and a Software Developer at Cisco, where I honed my skills in machine learning and software development. I am passionate about staying updated with the latest advancements in the field and applying them to real-world problems. My goal is to continue to grow as a professional and make a positive impact through my work.

Location

Hyderabad

Work experience

Senior Machine Learning Engineer at Splunk, Aug 2024 - Present · 1 yr 9 mos

Machine Learning Engineer II at Brane Enterprises Pvt Ltd, Feb 2021 - Aug 2024 · 3 yrs 7 mos, Hyderabad, TG, India, Developer & Architect | AI & System Optimization Generalized Document Extraction Engine Designed a scalable document extraction engine for finance and healthcare domains using a multi-layered architecture (MongoDB, RoBERTa, LLMs, Kafka). Fine-tuned RoBERTa and deployed LLMs with VLLM on A10 GPUs (15 tokens/sec), improving processing speed and accuracy. Architected microservices, optimized EKS pods/nodes, and reduced turnaround time by 50% via memory/CPU profiling. Delivered complete unit testing and functional documentation. Contextual Interaction with Documents Led development of a question-answering system over PDF collections using Retrieval-Augmented Generation (RAG). Enhanced retrieval accuracy through semantic chunking, metadata enrichment, and corrective RAG strategies. Used LLaMA 2, Qdrant, Neo4j, Langchain, and FastAPI to build a performant and contextual document interaction system.

Software Developer at Cisco, Jul 2019 - Feb 2021 · 1 yr 8 mos, India, Auto-scaling in AWS Enhanced auto-scaling capabilities for CISCO ASAv firewall in an IaaS environment by integrating custom metrics via AWS Lambda (Python). Worked extensively with AWS services including EC2, Lambda, S3, EFS, CloudFormation, and ECR to build a scalable and resilient infrastructure. Telegraf–Application Insights Integration (Azure) Integrated vFTD firewall metrics with Azure Application Insights using Telegraf, enabling improved observability and device management. Developed custom input/output plugins for Telegraf in Go, enabling seamless metric ingestion and telemetry analysis.

Summer Intern at University of Nebraska-Lincoln, May 2018 - Aug 2018 · 4 mos, Lincoln, Nebraska, Research Intern – Deep Learning for Medical Imaging Under Prof. Jitender S. Deogun Designed and implemented a novel architecture for classifying skin lesion images into 7 classes, achieving performance exceeding typical dermatologist accuracy. Explored and applied Variational Autoencoders (VAEs) and GANs to generate synthetic images for low-data scenarios, enhancing model generalization and robustness.

Intern at Indian Institute of Science (IISc), May 2017 - Jul 2017 · 3 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi

FIITJEE

Public links

github: https://github.com/kira-heisenberg