Mukesh Manral🇮🇳

CEO

Bengaluru, Karnataka, India6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AI strategy and consulting.
Proven success in boosting placement rates.
Extensive experience in machine learning and NLP.

Stackforce AI infers this person is a Data Science Specialist with expertise in AI strategy and machine learning solutions.

Contact

mukeshmanral777@gmail.com LinkedIn

Skills

Core Skills

MlopsMachine LearningNatural Language Processing (nlp)Aws

Other Skills

Python (Programming Language)MLFlowGitHub ActionsKerasSpaCyPytesseractOCRNERAWS SageMakerPythonAmazon S3Data IntelligenceAI ConsultantDeep LearningContinuous Integration and Continuous Delivery (CI/CD)

About

- Advising businesses on strategic AI adoption across operations, customer experience, and automation. - Defining AI use cases with clear ROI and transformation goals. - Bridge vendors, startup and internal stakeholders to deliver scalable AI Solutions Building cutting-edge solutions for BFSI sectors. Tech Stack – Python , Statistics , Machine Learning Pipelines, Natural Language Processing , LLM, MLOps ,LLMOps, GenAi, AWS 🔹Scikit-lear, keras 🔹Classification | Summarization | Generation | Name Entity Recognition | BIO Tagging | Transformers | CNN | RNN | LSTM | BERT ) 🔹Docker | MLflow | Grafana | Wandb | Github Actions / CircleCi / Jenkins | Terraform | Paperspace | Kubernetic |AWS ) 🔹LLM, LLMOps, VertexAi, BedRock, Azure OpenAi Data Scientist with proven extensive experience working in intersection of Machine Learning, Deep Learning (NLP) and GenAI. With a teams of 40+ members empowering early-stage technology companies with cutting-edge data-driven solutions.

Experience

6 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

4 yrs 1 mo

Current Experience

Guvi geek networks, iitm research park

Data Science Specialist

Apr 2023 – Sep 2023 · 5 mos · Chennai, Tamil Nadu, India · Remote

🔹Introduced and implemented MLOps methodology using MLFlow and GitHub Actions, driving operational efficiency and reproducibility.
🔹Leveraged data-driven insights to significantly boost placement rates from ~18% to 40% in just 6 months.
🔹Worked seamlessly in intersection of Data Science Tech and Data Science Placement business unit to create a cohesive and effective workflow.
🔹Designed and implemented data pipelines to collect, process, and analyze candidate and client data for valuable insights.
🔹Developed an in-house prediction system to accurately match candidates with their ideal roles, leading to substantial salary increases (from ~3-6 LPA to ~13 LPA).
🔹Provided expert AI consulting services to other organizations and professionals, sharing knowledge and driving innovation.

Python (Programming Language)Machine LearningMLOps

Github

Open Source Contributor

Apr 2022 – Present · 4 yrs 1 mo · Remote

Contributing several open source Projects + Guides:
1. visage.auth: https://github.com/MvMukesh/visage.auth
2. https://github.com/MvMukesh/AutoKYC-ExtractionEngine
Guide:
1. Get a Data job in 3 month: https://github.com/MvMukesh/Manralai
2. Problem Solving Framework for ML: https://github.com/MvMukesh/ProblemSolving-FrameWork-ML
3. Feature Selection Framework for ML: https://github.com/MvMukesh/FeatureSelection-Framework-ML
4. Feature Engineering Framework for ML: https://github.com/MvMukesh/FeatureEngineering-Framework-ML
5. Data Preprocessing Framework for ML: https://github.com/MvMukesh/DataPreprocessing-Framework-ML

Manralai

Chief Product Officer

Jan 2022 – Jun 2025 · 3 yrs 5 mos · Bengaluru, Karnataka, India · Remote

MLOpsMachine Learning

Cloudyml

Data Scientist

Jan 2022 – Dec 2022 · 11 mos · Remote

POC : Documents Data Extractor
> Tech Stack – Python, NLP, spaCy, openCV, (OCR, NER), Pytesseract, BIO tags
🔹Spearheaded proof-of-concept project, integration of SpaCy and Pytesseract to automate Named Entity Recognition and OCR; achieved an 80% reduction in document processing time for the data team.
🔹Engineered a computer vision pipeline using Python and OpenCV to extract text and recognize characters from images; reduced manual text entry by 7%.

KerasNatural Language Processing (NLP)

Techsim+ - the symbol of expertise

Machine Learning Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos · Bhopal, Madhya Pradesh, India · Remote

Maximised ROI: Data-Driven Customer Spending Solution
> Tech Stack – Python, Machine Learning, Amazon S3, AWS Sagemaker, MLOps
🔹Worked as an assistant R&D member and helped the team in creating ETL pipelines.
🔹Designed and implemented ETL pipelines on AWS to ensure data quality and streamline analysis.
🔹Developed Sagemaker notebooks and presented architecture diagrams for machine learning models.
🔹Successfully identified 12 key products out of 126 products, contributing to client spending patterns from a dataset of 20 million transactions for different product spanning past 4 years.
🔹Proposed different buying patterns and data-driven strategies to optimize key products buying time, resulting in estimated annual cost savings of ₹18-20 crores every year.

Machine LearningAWS SageMakerAWS