Amit Khandelwal

AI Researcher

Ahmedabad, Gujarat, India8 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

8+ years of experience in AI and machine learning.
Expertise in Generative AI and LLM-powered systems.
Proven track record in deploying scalable AI solutions.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for healthcare and enterprise software.

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Skills

Core Skills

Generative AiLarge Language Models (llm)Computer VisionMachine LearningPredictive AnalyticsData ScienceNatural Language Processing (nlp)Graph Analytics

Other Skills

Model developmentReal-time systemsData AnalyticsDynamic pricingData analysisDashboard developmentNLPConversational AIData EngineeringCommunicationUnstructured DataDatasetsSparkNetwork SecurityAndroid

About

Senior Data Scientist with 8+ years of experience building and deploying machine learning, NLP, vision, and Generative AI solutions at scale across enterprise and consumer domains. Currently at IBM, I work closely with high-growth ISVs to design and productionize AI solutions on open hybrid cloud and AI platform — spanning classical ML, LLM-powered systems, and emerging agentic workflows. My work focuses on translating ambiguous business problems into robust, scalable AI systems that deliver measurable impact. Previously, I’ve built: - Computer vision models deployed on edge devices (Philips) - Predictive and personalization systems for large-scale consumer platforms (Philips, MPL) - Graph, NLP, and cognitive systems used in enterprise cloud migration, contract intelligence, and conversational AI (IBM) I hold an M.Tech in Computer Science from IIT Bombay, with strong foundations in algorithms, ML, NLP, distributed systems, and applied research. I enjoy working at the intersection of deep technical problem-solving and real-world business impact, especially in GenAI and production ML systems. Core interests: Generative AI, LLMs, Agentic AI, ML system design, NLP, applied research → production pipelines.

Experience

8 yrs 8 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs

Current Experience

Ibm

Senior Data Scientist

Jun 2023 – Present · 3 yrs · Gandhinagar, Gujarat, India · On-site

Helping high-growth ISVs maximize the value of open hybrid cloud and AI using IBM products for solutions marketed to their clients. Part of the elite team that supports IBM's commitment to making our ecosystem partner products successful in the market.

Generative AILarge Language Models (LLM)

Philips

Data Scientist - II

Sep 2021 – May 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Built and deployed a real-time computer vision model for baby position detection, used as an input to downstream breathing analysis systems.
Led model development, quantization, and deployment on edge devices under real-world constraints.
Developed engagement prediction models to forecast user activity and define engagement bands for personalized campaign triggers.
Worked closely with product and engineering teams to integrate ML outputs into customer-facing systems.

Computer visionModel developmentReal-time systemsMachine Learning

Mobile premier league (mpl)

Data Scientist - II

Mar 2021 – Aug 2021 · 5 mos · Remote

Designed a dynamic pricing framework to maximize GMV across multiple live cricket tournaments.
Built live monitoring and reporting dashboards using Streamlit for real-time decision support.
Analyzed gameplay and transaction data to mine patterns and implement rule-based pricing strategies.

Dynamic pricingData analysisDashboard developmentData Science

Ibm india private limited

Cognitive Data Scientist

Jul 2017 – Feb 2021 · 3 yrs 7 mos · Bengaluru Area, India · On-site

Developed AI-driven solutions across NLP, graph analytics, and conversational AI for large enterprise clients.
Built graph-based models to identify application boundaries during cloud migration, significantly reducing discovery effort.
Contributed to Watson Contract Advisor by designing NLP pipelines to extract, compare, and classify contractual terms against standard frameworks.
Developed cognitive diagnostics and conversational recommendation systems using ML and NLP on distributed Spark-based platforms.

NLPGraph analyticsConversational AINatural Language Processing (NLP)Graph Analytics