Mahesh Chandra Mukkamala

AI Researcher

Saarbrücken, Saarland, Germany11 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

PhD in Mathematical Optimization with published research.
Expertise in Data Analytics and Machine Learning.
Experience in developing custom data solutions.

Stackforce AI infers this person is a Data Science expert with a focus on Optimization and Machine Learning in SaaS environments.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningOptimization

Other Skills

Applied MathematicsBig Data AnalyticsCloud ComputingConvex OptimizationData IntelligenceDeep LearningDjangoEntrepreneurshipExploratory Data AnalysisGenerative AIGitLaTeXLinuxMLOpsMathematical Programming

About

I am Mahesh Chandra. My expertise lies in Data Analytics, Mathematical Optimization, Machine Learning and Applied Mathematics. I did my Phd in Mathematics, with specialization in Mathematical Optimization. I have mainly worked on Bregman Proximal Minimization methods for Non-convex Non-smooth Optimization problems arising in various real world applications. I have published in top conferences/journals like NeurIPS, ICML, ICLR, SSVM, SIMODS, JOGO. For more details, please see my google scholar profile at https://scholar.google.de/citations?user=aLrBW2QAAAAJ&hl=en Please feel free to contact me if you would like discuss anything regarding Data Analytics, Optimization, and Applied Math.

Experience

Quantpi

2 roles

Data Scientist

Jun 2024 – Present · 1 yr 9 mos

Generative AINatural Language Processing (NLP)Data AnalyticsPython (Programming Language)Software DevelopmentExploratory Data Analysis+2

Data Science Consultant / Freelancer

Jul 2023 – May 2024 · 10 mos

Dualopt

Data Science Consultant

Nov 2021 – May 2023 · 1 yr 6 mos · India

Custom Data Analytics Solutions and Software Development

OptimizationNew Business DevelopmentSoftware as a Service (SaaS)Supply Chain ConsultingData AnalyticsBig Data Analytics

University of tuebingen

Phd Student

Dec 2020 – Nov 2021 · 11 mos

Universität des saarlandes

Phd Student

Jul 2017 – Nov 2020 · 3 yrs 4 mos · Saarbrücken Area, Germany

My research interests are Convex and Non-convex Optimization, Non-smooth analysis, Stochastic Optimization and Machine learning. I am currently working on developing general purpose algorithms for non-convex and non-smooth problems using the model function framework.
My google scholar profile is at https://scholar.google.de/citations?user=aLrBW2QAAAAJ
I occasionally write updates on my research at https://mmahesh.github.io/

Machine learning group, saarland university

2 roles

Teaching Assistant for Machine learning course

Oct 2016 – Apr 2017 · 6 mos

Research Assistant

Mar 2015 – Jun 2017 · 2 yrs 3 mos

I worked on various projects ranging from Multitask learning, Stochastic Convex Optimization, Optimization methods proposed in Deep learning. My master thesis "Variants of RMSProp and Adagrad with Logarithmic Regret Bounds" was to develop new scalable optimization algorithms for large scale machine learning problems, in particular deep networks. I want to explore various interesting research directions in particular, deep learning, online learning, optimization etc.

Nebule

Core Developer and Co-founder

May 2013 – Dec 2013 · 7 mos · Jodhpur Area, India

Built the entire backend code (~250K LOC) from scratch, using the Pyramid web framework in Python 3.3. The technologies used are Twitter Bootstrap 3, AngularJS,AJAX, jQuery, Elastic Search, MySQL, Mako, SQLAlchemy, Alembic database migrations, Heroku, etc. Initial development was done in Django and Python2 by myself, after which I handled porting of thecodebase into Pyramid framework and Python3 due to performance reasons.

Saha institute of nuclear physics

Summer Research Intern

May 2012 – Jun 2012 · 1 mo · Kolkata Area, India

Experimental: Observed Paramagnetic Meissner effect in type-II Nb superconductor and also synthesized the BI2212 High Temperature Superconductor.
Theory: Introduced To Microscopic BCS theory, Verified the Paramagnetic Meissner Effect of pure Nb crystal through susceptibility measurements. Special study on Tunneling process between combinations of Normal Metals and Superconductor and studied the working mechanism of Josephson effect, its applications.
Apparatus: CryoBind and Physical Property Measurement System(PPMS)
Software: Origin Data Analysis and Graphing Software