Anubhav P.

AI Researcher

Hyderabad, Telangana, India16 yrs experience
Highly StableAI ML Practitioner

Key Highlights

  • 16+ years of experience in AI and data engineering.
  • Expert in building scalable machine learning systems.
  • Proven track record in optimizing operational workflows.
Stackforce AI infers this person is a Data Engineering and AI specialist with a focus on scalable solutions in the Energy and Manufacturing sectors.

Contact

Skills

Core Skills

Machine LearningMlopsData Analysis

Other Skills

Agentic AI DevelopmentNetwork TroubleshootingGitGenerative AI ToolsLow-Level DesignPyTorchDockerTime Series ForecastingRetrieval-Augmented Generation (RAG)Fine TuningLarge Language Models (LLM)monitoring and loggingDeep LearningLarge Language Model Operations (LLMOps)Kubernetes

About

I am an engineering-oriented AI and data professional with 16+ years of industry experience, including 6+ years building production machine learning and data platforms. My work focuses on designing end-to-end intelligent systems — from data ingestion and pipelines to model training, APIs, deployment, and monitoring. I build solutions that operate in real environments, not notebooks: scalable services, automated workflows, and reliable prediction systems. I have developed real-time forecasting and decision systems for large-scale operational environments, using cloud platforms, distributed data processing, and deep learning. These systems process live data streams, generate predictions, and integrate directly into operational workflows. Core areas of work: • Backend services (Python APIs, system design, async processing) • Data engineering (ETL pipelines, batch & streaming workflows) • Machine learning & deep learning (training, validation, inference) • MLOps & DevOps (Docker, CI/CD, deployment, monitoring) • Databases & analytics systems (SQL, distributed processing) • Production reliability (logging, health checks, performance optimization) I enjoy building complete systems — turning raw data into running services that teams can depend on. I combine engineering discipline with practical ML to deliver solutions that are measurable, maintainable, and scalable. My goal is to work on challenging technical problems where software engineering, infrastructure, and machine intelligence intersect.

Experience

16 yrs
Total Experience
3 yrs 3 mos
Average Tenure
2 yrs 10 mos
Current Experience

Jsw neo energy ltd

Lead Data Scientist

Aug 2023Present · 2 yrs 10 mos · Hyderabad, Telangana, India · On-site

  • Proud to share 🚀
  • Successfully delivered an end-to-end real-time power forecasting & scheduling solution for one of India’s most complex wind sites (~0.5 GW AVC).
  • The solution optimizes scheduling to reduce DSM penalties under high weather uncertainty — a top-priority project for JSW Energy — and outperformed the existing 3rd-party vendor during validation.
  • Solution design and architecting. Scaling strategy built. Quick turnaround time ( approx. 15 days) to implement the solution on new site
  • Built and owned end-to-end, with support from one teammate during deployment. Now being scaled pan-India.
  • Tech: Azure | Databricks | CI/CD | Time Series | Deep Learning | Explainable AI | Airflow | Microservices 🌱⚡
  • Created a complete team of Data scientist, Devops, Data Engineer, Web developers to build unified platform
  • Implementing ML and Data driven solutions to solve RW problems in the area of: Inventory optimization, Supply Chain, Energy segment, Asset Management, Performance monitoring, etc
  • attempting to solve manufacturing anomalies using classical and self devised approaches using classical ML and Deep learning
Machine LearningAgentic AI DevelopmentNetwork TroubleshootingGitGenerative AI ToolsLow-Level Design+30

Freelance

Data Science Mentor & Freelancer

Jun 2023Jul 2023 · 1 mo · Bengaluru, Karnataka, India · Hybrid

  • courses on python, sql, cloud computing, machine learning, and domain specific consulting
Low-Level DesignDockerRetrieval-Augmented Generation (RAG)KubernetesHigh-Level DesignSystems Design+6

Mu sigma inc.

Senior Apprentice Leader

Jul 2022Jun 2023 · 11 mos · Bengaluru, Karnataka, India

  • Led cross-functional analytics and engineering teams (up to 13 members) delivering machine learning and data solutions for large enterprise clients across industrial, CPG, oil & gas, pharma and manufacturing domains.
  • Designed forecasting and optimization solutions including statistical forecasting, network optimization, and decision-support models used for operational planning.
  • Built and reviewed production-grade Python code, improving reliability, maintainability, and performance of analytical workflows.
  • Developed NLP solution for aspect-based opinion mining to extract customer insights from unstructured text data.
  • Created proof-of-concept data products and translated business problems into scalable analytical pipelines and models.
  • Performed technical reviews, mentored engineers, and standardized development practices across teams.
  • Collaborated with stakeholders to convert business requirements into deployable analytical solutions and measurable KPIs.
  • Technologies & Areas:
  • Python, Machine Learning, Optimization, Forecasting, NLP, Data Processing, SQL, Problem Structuring, Technical Leadership
Analytical SkillsMachine LearningLow-Level DesignDockerKubernetesData Analysis+11

Tata steel

3 roles

Senior Manager - Product Application

Promoted

Aug 2019Jul 2022 · 2 yrs 11 mos

  • Applied data analysis and machine learning concepts to product development, root-cause analysis (RCA), and continuous improvement initiatives.
  • Developed inventory and supply-chain optimization approaches to improve availability and reduce excess stock.
  • Built proof-of-concept computer vision model for defect detection in telescopic front fork tubes.
  • Used analytical methods to identify failure patterns and define corrective and preventive actions (CAPA).
  • Worked with cross-functional teams to translate operational problems into measurable technical solutions and validation frameworks.
PythonAutomotive MarketingData AnalysisSQLConsultingManagement+2

NCR Manager - Product Application

Jul 2014Jul 2019 · 5 yrs

Automotive MarketingManagementArtificial Intelligence (AI)

Manager - Technology Group

May 2012Jun 2014 · 2 yrs 1 mo

ManagementArtificial Intelligence (AI)

Indian institute of technology, kanpur

Senior Project Associate

May 2011Apr 2012 · 11 mos · Kanpur, Uttar Pradesh, India

  • Worked on process modeling and experimental analysis for alternative iron synthesis using micro-pelletization techniques.
  • Performed data-driven evaluation of process parameters and material behavior during trials. •Collaborated in a research environment and gained exposure to early-stage technology development and prototyping.
Management

Hindustan zinc

Process Engineer (R&D)

Dec 2009Apr 2011 · 1 yr 4 mos · Udaipur, Rajasthan, India

  • Worked on process and product development for metallurgical smelter operations, analyzing parameters and improving operational efficiency.
  • Performed experimental evaluation and optimization of Ausmelt slag valorization and material recovery processes.
  • Conducted waste treatment and recovery studies using data-driven investigation and validation trials.
  • Collaborated with academic and industrial research teams on technical studies and feasibility analysis.
  • Applied structured improvement methodologies (Six Sigma, 5S, ISO practices) for process standardization and quality improvement.

Aalto university

Student Researcher

Dec 2008Jan 2009 · 1 mo · Helsinki, Uusimaa, Finland

  • Microstructural Analysis and Data Analysis of the Nickel Slags.
  • Independently operated SEM coupled with EDS

Ku leuven

International Scholar

Jan 2008Jun 2008 · 5 mos · Leuven, Flemish Region, Belgium

  • Project: Micro structural and thermodynamic characterization of stainless steel slags
  • Used MATLAB, XRD, EDS- Coupled with SEM and WDS to characterize different phases.
  • Katholieke Universiteit Leuven international scholarship for Jan 2008 to Jun 2008

Indian institute of technology, kanpur

Summer Intern

May 2007Jul 2007 · 2 mos · Kanpur, Uttar Pradesh, India

  • Project: Analyzed Wootz Steel crucibles from Northern Telangana using XRD and SEM
  • Paper Published: R. Balasubramaniam, Anubhav Pandey, S. Jaikishan, Analysis of Wootz Steel Crucibles from Northern Telangana, Indian Journal of History of Science - 42 (2007), p. 649-672

Education

Punjab Engineering College

Bachelor of Engineering - BE — Engineering

Jan 2005Jan 2009

Institute of Management Technology, Ghaziabad

Executive MBA

Jul 2021Nov 2022

KU Leuven

Exchange Student

Jan 2008Jun 2008

Teknillinen korkeakoulu-Tekniska högskolan

International Scholar

Dec 2008Jan 2009

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