Mani Kishan Ghantasala

Software Engineer

Austin, Texas, United States6 yrs 8 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in AI model optimization and deployment.
Led development of automated BI solutions at SLB.
Contributed to open-source projects enhancing coding standards.

Stackforce AI infers this person is a skilled AI and Software Development professional with a focus on Big Data and Machine Learning.

Contact

Skills

Core Skills

Ai & NlpDeep Learning SystemsBig Data & AlgorithmsSoftware Development

Other Skills

Large Language Models (LLM)LLM routerTransact-SQL (T-SQL)Data ModelingExtract, Transform, Load (ETL)PowerBIAzure Analysis ServicesPython (Programming Language)Secure Shell (SSH)JavaScriptC++Shell ScriptingApache AirflowSpring BootScala

About

I am a Master’s candidate in Computer Science from UMass Amherst, specializing in AI, deep learning systems, and software engineering. My coursework and research have given me hands-on experience in developing, optimizing, and scaling AI models and software systems. 🔹 Core Expertise: AI & NLP: Fine-tuned large language models (LLMs), worked on transformers, attention mechanisms, and efficient inference techniques. Deep Learning Systems: Studied model optimization, GPU acceleration, and distributed ML frameworks (PyTorch, TensorFlow). Software Development: Applied software engineering principles, system design, and cloud computing to build scalable AI applications. Big Data & Algorithms: Implemented streaming algorithms, data sketching, and large-scale data processing for AI-driven solutions. 🔹 Professional Experience: At SLB, I developed automated BI solutions using Azure Data Factory and Power BI, reducing manual effort and improving efficiency. As a Google Summer of Code (GSoC) contributor for NetBSD, I enhanced clang-format for kernel-level coding standards. 🔹 Seeking Opportunities: I am actively looking for Software Development Engineer (SDE), AI Systems, and Machine Learning Engineering roles, where I can contribute my expertise in AI model deployment, large-scale computing, and backend engineering. Let’s connect and collaborate! 🚀

Experience

6 yrs 8 mos

Total Experience

4 yrs

Average Tenure

2 mos

Current Experience

Microsoft

2 roles

Software Engineer

Promoted

Mar 2026 – Present · 2 mos · Remote

Azure Storage

Extern

Feb 2025 – Sep 2025 · 7 mos · Remote

Currently working as part of the course 696DS on the project ‘LLM Router for Accurate and Efficient LLM Inference.’
The project focuses on developing efficient routing models that dynamically select the optimal LLM for inference based on the input prompt, balancing cost and performance.
This is an industrial mentorship research project in collaboration with Microsoft Research
Industry Mentor(s): Yue Kang, Somya Chatterjee, Ehi Nosakhare
PhD Mentor(s): Vishal G

Large Language Models (LLM)LLM routerAI & NLPDeep Learning Systems

University of massachusetts amherst

Graduate Teaching Assistant

Jan 2025 – Sep 2025 · 8 mos · Amherst, Massachusetts, United States · On-site

Grader for COMPSCI 514 - Algorithms for Data Science

Slb

Associate Software Engineering

Jul 2021 – Jul 2023 · 2 yrs · Coimbatore, Tamil Nadu, India · Hybrid

Led the development of an end-to-end Business Intelligence(BI) Solution for Cost Allocation and Depreciation as part of "Job Profitability" Initiative.
Introduced an autonomous testing process, improving on-time successful releases by 40%.
Automated PowerBI and Azure Data Factory Monitoring, reducing daily monitoring from 4 hours to 15 minutes.

Transact-SQL (T-SQL)Data ModelingExtract, Transform, Load (ETL)PowerBIAzure Analysis ServicesBig Data & Algorithms+1

Buddi.ai

Intern - Junior Research Engineer (R&D)

Jan 2021 – May 2021 · 4 mos

Optimized Scala data processing APIs for Hadoop improving the parallelism of the code-base, achieving 3x performance.
Streamlined ML processing pipelines with Apache Airflow, reducing manual effort by 80%.

Secure Shell (SSH)Apache AirflowSpring BootScala

Netbsd

Google summer of Code 2019

May 2019 – Aug 2019 · 3 mos · Remote

Enhanced the functionality of clang-format component of clang compiler, by incorporating new features.
Configured clang-format to adhere to the 'NetBSD' coding style, specifically following the KNF (Kernel Normal Form) guidelines.

LLVMclang-formatGitC++

Foss@amrita

2 roles

Member and Mentor

Jan 2018 – Jan 2023 · 5 yrs

Collaborated on diverse open-source projects related to Operating Systems, Compilers and Distributed Systems.
Organized workshops and was one of the organizing committee for the university's first Open-Source program, managing 8 student projects.

Python (Programming Language)Secure Shell (SSH)JavaScriptC++Shell Scripting