Danish Bansal

Machine Learning Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Led AI initiatives in diverse sectors.
Developed scalable AI solutions for enterprise clients.
Achieved significant cost reductions in data processing.

Stackforce AI infers this person is a Data Science and AI specialist with experience in EdTech and Food Tech industries.

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Skills

Core Skills

Data EngineeringSolution ArchitectureGenerative AiCloud TechnologiesMachine LearningData ProcessingData Analytics

Other Skills

AWS GlueAWS SageMakerAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache AirflowArtificial Intelligence (AI)Artificial Neural NetworksC (Programming Language)CI/CDCommunicationComputer VisionConvolutional Neural Networks (CNN)Cost ReductionData Analysis

About

If you’re interested in bringing on a versatile, experienced professional with a broad background in AI, covering computer vision, NLP, speech, generative AI, recommendations, and beyond. By “all-rounder,” I don’t just mean technical expertise. I have extensive experience working across diverse roles—from leading AI-driven initiatives in the UK real estate sector to managing a data engineering team in a fast-paced Dubai-based food tech company. I’ve collaborated with pre-sales and sales teams to drive revenue, trained new talent, and contributed to podcasts, case studies, and blogs for SEO and brand visibility. My technical background includes working with AWS, GCP, and some experience with Azure, as well as hands-on expertise in experiment tracking, big data, and the entire data lifecycle—from data collection to leveraging big data. If you’re open to exploring how my skills could add value, let’s set up a time to discuss further. I’m ready for a new challenge.

Experience

5 yrs 4 mos

Total Experience

4 yrs 1 mo

Average Tenure

1 yr 3 mos

Current Experience

Cyncly

Senior AI/ML Engineer

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Working on Upscaling and Light Correction of the Rendered Image by 3D Softwares.

Daffodil software

3 roles

Technical Lead

Promoted

Jun 2024 – Feb 2025 · 8 mos

1. Managed the Data Engineering team for a fast-growing Dubai-based food tech startup, overseeing:
a. Business requirements gathering and solution architecture while adhering to budget and technical
constraints.
b. CI/CD pipeline management on Databricks notebooks and workflows across multiple environments.
Code optimization, pull request reviews, and defining testing processes to ensure seamless pipeline
execution.
2. Functioned as Solution Architect, interfacing with clients and internal teams to deliver tailored solutions:
a. Defined project approach, timelines, resource allocation, and created architecture diagrams for
Requests for Quotation (RFQs).
b. Contributed to securing 5+ projects by designing and presenting scalable solutions that met client
needs.
3. Led cross-functional teams to develop Generative AI solutions and integrate GPT-4, BERT, and Transformer models into production workflows for enterprise clients.
4. Designed large-scale AI systems leveraging LLMs and cloud technologies such as Kubernetes/Dockerto improve system scalability and performance.

Data EngineeringSolution ArchitectureGenerative AICI/CDKubernetesDatabricks

Associate AI/ML

Promoted

Jul 2022 – Jun 2024 · 1 yr 11 mos

1. Led the development of an AI-powered digital quiz platform for teachers, using Object Detection and Optical Character Recognition (OCR) to convert handwritten MCQs into digital format with 87% accuracy.
2. Built multiple Proof of Concepts (POCs), including virtual try-ons for makeup, clothing, and jewelry, as well as audio transcription solutions.
3. Worked on large-scale data processing for a UK-based real estate client using PySpark. Key contributions included:
a. Training an Automated Valuation Model (AVM) to predict property valuations within a 10% error
margin.
b. Enriching datasets by imputing property data and efficiently processing over 1TB of LIDAR data,
writing cost-optimized scripts that minimized computing expenses.
c. Utilizing AWS Glue, GCP Kubernetes, and Flask to deploy AI models and services.
Developed a model to predict property construction year with an 85% ±1 accuracy.
d. Implemented efficient string matching for datasets exceeding 30 million records, streamlining data
processing.

Object DetectionOptical Character Recognition (OCR)PySparkAWS GlueData ProcessingMachine Learning

Junior Associate AI/ML

Jan 2021 – Jul 2022 · 1 yr 6 mos

1. Spearheaded a data analytics project for a major Nigerian utilities client, reducing data processing costs by 66.6% and processing time by 80%, while working with 66% less data.
2. Developed a Named-Entity Recognition (NER) model to extract product names from text, achieving 93% accuracy.
3. Led the development of an object detection and tracking system for 38 different road objects, managing data annotation and model training. Designed a custom tracking algorithm, achieving a 95% reduction in throughput time with 82% precision.
4. Applied supervised and unsupervised image segmentation techniques to remove backgrounds from jewelry images, attaining a 92.7% accuracy rate.

Data AnalyticsNamed-Entity Recognition (NER)Image SegmentationMachine Learning

Infigon futures

Machine Learning Engineer

Oct 2020 – Jan 2021 · 3 mos

Compiles organized and non-organized data from a variety of sources to collect useful information.
Help the company speed up the product development process by 60% by providing relevant data in a strict time frame of just 2 weeks.
Directs the design of the neural network process to make it a benchmark for the enterprise.
Development of the machine learning model for successfully assessing the personality of the student.