S

Samrat Saha

Lead ML Engineer

Bengaluru, Karnataka, India22 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • 20+ years of experience in ML systems.
  • Holder of 4 patents in AI technologies.
  • Delivered AI platforms with $100M+ business impact.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AdTech and AgriTech.

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Skills

Core Skills

Machine LearningData ScienceLarge Language Models (llm)MlopsLarge Scale MlComputer VisionAdtechKnowledge GraphsNatural Language ProcessingAnomaly Detection

Other Skills

Analytical SkillsStatistical Data AnalysisNeural NetworksdeepspeedGenerative AIDistributed TrainingTritronvllmBentoMLBusiness AnalysisStrategyGenerative Adversarial Networks (GANs)Amazon Web Services (AWS)KubernetesPython (Programming Language)

About

I’m a Machine Learning Engineer based in London with 20+ years of experience building and scaling ML systems across Ads, Retail, AgriTech, and large-scale language and vision models. I started my career close to hardware, working with C/C++ and FPGA-based systems, which shaped how I think about performance, memory, and reliability. Over time, I moved up the stack to large-scale ML platforms, and today I focus on building models and systems that are not just accurate, but deployable, efficient, and reliable in production. Impact & Products Contributed to Krutrim’s first LLM (First Indic LLM) release and benchmarking, strengthening evaluation for large-scale language models. At Cropin, scaled SmartRisk, a precision agriculture platform using satellite imaging to for crop prediction, LULC, sustainability use cases like deforestation, stable burning, impacting agribusinesses, supply chain globally. Delivered AI platforms driving $100M+ business impact in Ads and Retail. Architected and shipped Prism, a visual contextual AdTech platform enabling shop the look showcased at Reliance AGM — combining large-scale CV + ML with product impact. Leadership & Collaboration Built and led agile ML teams, mentoring engineers and aligning cross-functional groups. Partnered with Nvidia, Databricks, and collaborated with startups such as boxx.ai and accio.ai. Supported M&A efforts, including the OnePlay acquisition at Jio. Innovation & Expertise Holder of 4 patents in Computer Vision, NLP, and anomaly detection. Expertise across Recommender Systems, Ranking & Prediction, AdTech, Computer Vision, Deep Learning, Generative AI, and large-scale ML infrastructure. 30+ certifications in Deep Learning, Distributed Systems, and ML Design. I enjoy working at the intersection of research and engineering — building products that scale, deliver measurable outcomes, and create long-term value.

Experience

22 yrs 1 mo
Total Experience
2 yrs 9 mos
Average Tenure
--
Current Experience

Meta

Tech Lead ML (E6)

Jun 2025Dec 2025 · 6 mos · London Area, United Kingdom · On-site

  • Large-scale ML systems, Financial Scam agents.
Data ScienceAnalytical SkillsStatistical Data AnalysisMachine LearningNeural Networks

Publicis sapient

Director Data Science

Apr 2024Jun 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Krutrim

Director ML

Oct 2023Mar 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

  • . Built and scaled large-scale ML workloads (>100 GPUs); contributed to GPU-as-a-Service platform.
  • . Supported talent acquisition, including Ola’s first Zero-Day IIT hiring initiative.
deepspeedLarge Language Models (LLM)MLOpsGenerative AILarge scale MLDistributed Training+3

Cropin

Director Of Data Science

Sep 2022Oct 2023 · 1 yr 1 mo · India · Hybrid

  • . At Cropin, scaled SmartRisk, a precision agriculture platform using satellite imaging for crop prediction, land-use classification (LULC), and sustainability use cases such as deforestation and stubble burning.
Large Language Models (LLM)Machine LearningMLOpsBusiness AnalysisComputer VisionStrategy+6

Jio

2 roles

General Manager (PDS) @JioAds

Promoted

Sep 2019Sep 2022 · 3 yrs

  • . Led the design and delivery of PRISM, a visual contextual advertising platform showcased at Reliance AGM 2022, driving adoption across Jio Media & Retail.
  • . Built and managed a 13-member ML team from scratch, spanning research, engineering, and product.
  • . Guided cross-functional collaboration with product, infra, and business teams to align vision and delivery.
EngineeringVector DBDeep LearningNatural Language ProcessingMachine LearningMLOps+15

PDS @JIO AI COE

Nov 2018Sep 2019 · 10 mos

  • Key Achievements
  • . JioSearch & JioNews: Developed the JioNews Recommendation Phrasing Algorithm and contributed to core JioSearch initiatives.
  • . JioBrain (AI-COE): Contributed to JioBrain, a language-agnostic knowledge graph enabling multilingual question answering at scale.
  • . Talent Acquisition: Active member of IIT hiring panel; contributed to IIT campus recruitment and early team-building efforts.
EngineeringKnowledge GraphsMachine LearningMLOpsApache KafkaTeam Building+7

Wipro limited

Head OF Data Science @ HOLMES (Wipro start-up)

Mar 2017Sep 2018 · 1 yr 6 mos · Bengaluru Area, India

  • . Led Data Science for Wipro HOLMES, delivering the Information Extraction Framework (IEF) that contributed $20M toward Wipro’s AI revenue vision ($100M).
Natural Language ProcessingKnowledge GraphsMachine LearningMLOpsBusiness AnalysisStrategy+8

Ibm

Advisory Software Engineer @ IBM watson

Mar 2012Aug 2016 · 4 yrs 5 mos · Bengaluru Area, India

  • . Delivered MVP of Watson Visual Recognition (AlexNet, VGG) and contributed to Watson Advertising (audience management, campaign targeting).
  • . Extended Watson Jeopardy Knowledge Graph to B2B chatbots; contributed to Watson’s rule-based chatbot platform.
EngineeringNatural Language ProcessingKnowledge GraphsMachine LearningMLOpsComputer Vision+7

Kritikal solutions

Software Engg (Various roles Kritikal, Sipera and other start ups)

Jan 2003Jul 2012 · 9 yrs 6 mos · New Delhi Area, India

  • . Worked across Kritikal, and other start ups during this period.
  • . Focused on anomaly detection, recommender systems, and early computer vision.
  • . Led development of voice anomaly detection platform at sipera, helping raise $16M Series B funding from Austin Ventures. Managed and mentored 10 engineers; contributed to patent in anomaly detection.
  • . Delivered India’s first CV-based bomb detection system (Kritikal, Parliament project).
  • . Contributed to early recommender engines and traffic anomaly detection using SVMs and Gaussian kernels.
Machine LearningComputer VisionC++Anomaly DetectionTeam Leadership

Education

Indian Institute of Technology, Roorkee

B.Tech — CSE

Jan 1999Jan 2003

Hindu School

Higher secondary(12+)

Jan 1997Jan 1999

Taki house government multipurpose school

10+ — Science

Jan 1987Jan 1997

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