Abhishek Malani

AI Researcher

Dubai, United Arab Emirates13 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed and deployed 17 machine learning models.
Expert in end-to-end machine learning model development.
Proficient in cloud deployment and MLOps.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and AI-driven solutions.

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Skills

Core Skills

Machine LearningMlopsNatural Language Processing (nlp)Software Development

Other Skills

AlgoAmazon Web Services (AWS)CC++Computer VisionContinuous Integration and Continuous Delivery (CI/CD)Core JavaData EngineeringDatabasesERP OracleFastAPIFeature EngineeringHP QuickTest Professional (QTP)HTMLJSP

About

As a Machine Learning Engineer at Hello Chef, I have been solely responsible for developing, deploying, and maintaining the company’s AI-driven solutions. My role spans across end-to-end machine learning model development, productionization, data pipeline engineering, and backend API management, enabling data-driven decision-making and automation in the meal kit industry. Over the years, I have successfully built and deployed 17 machine learning models in production, covering a diverse range of use cases, from customer demand forecasting to recipe personalization and AI-powered chatbots.

Experience

13 yrs 9 mos

Total Experience

2 yrs 3 mos

Average Tenure

5 yrs

Current Experience

Hello chef

Machine Learning Engineer

Jun 2021 – Present · 5 yrs · Dubai, United Arab Emirates · On-site

AI & ML Engineer | 17 Models in Production | End-to-End ML & MLOps
Model Development & Deployment
Built & deployed 17 ML models:
Churn Prediction – Reduced churn with targeted interventions.
Recipe Recommendation – Personalized meal suggestions.
Demand Forecasting – Optimized procurement & reduced waste.
Ensured scalable & efficient model deployment.
Model versioning & tracking with MLflow.
APIs deployed using FastAPI for low-latency inference.
Optimized inference with hyperparameter tuning, quantization & pruning.
⸻
Custom LLMs & AI Chatbots
Built & deployed LLMs for:
Recipe Generation & AI Chatbots – Personalized meal planning.
Optimized Transformers – Real-time AI processing.
Edge AI Deployment – LLMs on NVIDIA Jetson.
⸻
Data Pipelines & Engineering
Designed scalable ETL pipelines for real-time & batch processing:
Automated ingestion with Fivetran & Stitch.
Ensured data integrity with quality checks.
Real-time streaming for AI-driven decisions.
⸻
Cloud Deployment & MLOps
Scaled ML models using AWS, GCP, Azure.
CI/CD pipelines for automated deployments.
Containerized models with Docker & Kubernetes.
GPU acceleration for optimized inference.
Model monitoring for drift detection & performance tracking.
⸻
AI-Powered APIs & Backend Engineering
Developed scalable AI-powered backend services:
Real-time ML predictions for web & mobile apps.
Microservices architecture for AI applications.
Connected ML models with databases for inference.
⸻
Let’s connect! Passionate about AI-driven solutions that create real impact.

MLOpsMLflowPython (Programming Language)pytestPandas (Software)Continuous Integration and Continuous Delivery (CI/CD)+8

Walmart global tech india

Senior Software Engineer

Jul 2020 – Jul 2021 · 1 yr · Bengaluru, Karnataka, India · On-site

o Implemented computer vision-based validation, improving UI regression detection and reducing release cycle times.
o Led holiday readiness initiative, ensuring scalability and seamless customer experience for peak events like Black Friday.
o Collaborated with cross-functional teams to optimize backend data flows, improve system resilience

Software InfrastructurePython (Programming Language)Supervised LearningAlgoSoftware Development

Headout

Senior Software Engineer

Feb 2019 – Jul 2020 · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

Designed Selenium-based bot to automate ticket bookings for high-demand attractions across world
o Forecasted ticket demand and automated pre-bookings with predictive models and Selenium, offering better experience
o Built scalable web scrapers to gather booking data from competitors for dynamic price analysis.
o Built an intelligent visual testing system leveraging the COCO image recognition library, reduced manual effort by 70%

Python (Programming Language)Software InfrastructureSupervised LearningAlgoSoftware Development

Treebo hotels

Senior Software Engineer

Jul 2016 – Jan 2019 · 2 yrs 6 mos · Bengaluru, Karnataka, India

o Architect, build, and maintain automated validation systems for Platform Services, Channel Manager, Prowl Android App
o Led on 20% projects like Bookworm (library slack bot) & Incident alerting (Treebo's own PagerDuty equivalent)
o Top performer: consecutively rated 4/5 among my team of 120 employees during performance appraisal
o Co-inventor of 8 patents in quality control and audit using machine learning and data from Internet of Things
o Received multiple Star warrior awards for testing and releasing couple of critical bug free features on a tight deadline

Loancircle

Senior Software Engineer

Oct 2015 – Jul 2016 · 9 mos · Bangalore Area, India

o Designed credit risk calculation logic that calculates credit score of the application based on multi source data inputs
o Built robust regex parser to extract and classify all bank messages from app, enabling clean data pipeline for risk analysis
o Developed a data ingestion pipeline to collect and store voter ID information from public sources, enhancing verification
o Developed geospatial analysis to calculate distance between applicant’s residence to store of purchase using Google APIs

Oracle

Software Developer

Aug 2012 – Oct 2015 · 3 yrs 2 mos · Bengaluru Area, India

o Designed, developed and managed automation code on SCM, OM and iProcurement modules in Oracle’s ERP suite
o Designed and developed OAF page which allows user to assign new roles to themselves, saving 500 new tickets pm

Malviya national institute of technology (mnit - jaipur)

Intern

May 2011 – Jun 2011 · 1 mo · Greater Jaipur Area

Designed a GSM based GPS tracking system
It sends information on location and speed in the form of text message in every five minutes

Ecil

Intern

Jun 2010 – Jul 2010 · 1 mo · Hyderabad, Telangana, India

Designed a working model of GSM based wireless billing system
Better performance compared to radio based billing systems
Sends a text message instead of a printed receipt of number of units of power consumed

International institute of information technology - hyderabad ( iiit-h )

Intern

Jun 2008 – Jul 2008 · 1 mo · Hyderabad

I was a part of team that designed and developed a intelligent zebra crossing system, we were able to successfully build a working model bread-boards and minimal circuitry. This internship help me immensely in choosing right stream in engineering.