Abhishek Shukla

CTO

Hyderabad, Telangana, India10 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led AI strategy for major organizations.
  • Built high-performing data teams from scratch.
  • Delivered significant engagement and revenue improvements.
Stackforce AI infers this person is a MarTech and Data Engineering expert with a focus on AI-driven solutions.

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Skills

Core Skills

Ai StrategyData & Ai Strategy ConsultingGenerative AiDigital TransformationMachine LearningData ScienceData EngineeringAi/ml Systems DevelopmentAi Product DevelopmentSoftware EngineeringAutomation

Other Skills

Leadership DevelopmentRAGOpen-source LLMsCloud-native architecturePlatform resilienceCloud-native data lakeReal-time ETL pipelinesNLPCross-team CollaborationAirflowDBTFivetranCNNsPythonETL

About

TL;DR: I help organizations convert AI from hype into measurable economic output. With 10+ years across Engineering, Data, and AI, and 6+ years leading 30+ member teams. I partner with CEOs and CXOs to define and execute AI strategy, modernize data platforms, and deliver production-grade AI systems that improve revenue, margins, and operational efficiency. Currently Head of Tech & Data at Clicksco (Havas Media Group), I lead AI adoption, platform architecture, and data transformation initiatives. My focus is on turning AI from experimentation into a scalable business capability. Key highlights: • Operationalized open-source LLMs with RAG architectures for real-time business use cases • Built AI-driven platforms delivering 20%+ margin uplift • Led recommendation systems with 350% engagement improvement • Architected high-scale distributed systems (100K+ requests/sec) • Built and scaled Data & AI teams from the ground up My expertise spans AI strategy, Generative AI (LLMs, RAG, agentic systems), enterprise data platforms, scalable system design, and cloud-native architecture. Let's connect & Collaborate.

Experience

10 yrs 4 mos
Total Experience
2 yrs 1 mo
Average Tenure
2 yrs 6 mos
Current Experience

Clicksco

Head of Data & AI Tech

Nov 2023Present · 2 yrs 6 mos · Hyderabad, Telangana, India · On-site

  • Driving Clicksco’s technology and data vision through a blend of strategic leadership, GenAI innovation, and scalable execution.
  • Technology Leadership:
  • Leading end-to-end tech operations, ensuring platform resilience and high availability for a global user base of 20M+ monthly visitors. Focused on building secure, cloud-native systems and modernizing legacy infrastructure to support scale and agility. Overseeing infrastructure roadmaps, vendor partnerships, and cross-region deployments for seamless performance.
  • Generative AI Strategy:
  • Spearheading Clicksco’s GenAI adoption through projects like keyword intelligence and ad variant testing. Using RAG, open-source LLMs, and fine-tuned models to enhance SEO, content creation, and ad performance. These initiatives improve workflows, boost conversion, and drive strategic differentiation.
  • Product Innovation & Engineering Excellence:
  • Driving architecture and engineering to deliver tools for marketing and monetization strategies. Built low-latency APIs, scalable pipelines, and automation to improve speed-to-market and reduce manual effort. Focused on cost-effective, high-impact engineering outcomes.
  • Cross-functional Leadership:
  • Aligning product, data, and marketing through unified OKRs and high-impact prioritization. Enabling agile execution and tight feedback loops to deliver measurable business results. Ensuring the roadmap supports strategic goals.
  • Culture & Talent:
  • Fostering a high-performing, innovation-first tech culture. Mentoring leads, encouraging a growth mindset, and promoting accountability. Building future leadership while retaining top talent.
Leadership DevelopmentData & AI Strategy ConsultingAI Strategy

Summit media (summit publishing co., inc.)

Head of Data - Analytics and Data Science

Oct 2020May 2023 · 2 yrs 7 mos · Philippines

  • Led the digital transformation of one of the Philippines’ largest media houses, driving enterprise-wide impact through modern data, AI, and analytics strategies.
  • Executive Stakeholder Leadership:
  • I worked closely with the CEO and executive committee on multi-million-dollar data and AI initiatives. From annual planning to budget ownership, I translated complex technical strategies into clear business narratives that influenced board-level decisions.
  • High-Performance Team Building:
  • I built and coached a 30+ member data team from the ground up, fostering a culture of ownership, experimentation, and excellence. Through focused mentoring and leadership development, we raised engagement scores from 68% to 93%, transforming the team into a strategic partner to the business.
  • Modern Data Stack Leadership:
  • I architected and executed the complete overhaul of Summit’s data infrastructure, implementing a modern data stack spanning a cloud-native data lake, real-time ETL pipelines, and a unified warehouse across AWS and GCP. This backbone supported faster decision-making, scaled data access, and powered the organization’s shift to digital-first operations.
  • ML-Driven Personalization:
  • I led the development of a real-time recommendation engine that drove a 350% increase in key engagement metrics. Alongside this, I initiated and scaled multiple machine learning use cases — from NLP-based content enrichment to revenue forecasting and CLV prediction — aligning all AI efforts with business outcomes.
  • Strategic Analytics Roadmap:
  • I defined and operationalized the analytics vision across Summit’s business units. By embedding data-driven insights into executive, sales, and ad-tech functions, we shifted toward a culture of measurable accountability. I also oversaw the delivery of dynamic dashboards via Looker, Superset, and Cube.js for scalable visibility.
Leadership DevelopmentData & AI Strategy ConsultingDigital Transformation

Tuple technologies

Lead Data Scientist

Feb 2020Oct 2020 · 8 mos · Singapore

  • Partnered with global clients to lead data innovation, bridging AI systems and modern data engineering to drive personalization, performance, and scalable value.
  • Client-Facing Strategy Execution:
  • I served as the strategic link between client business goals and technical delivery, converting high-level objectives into actionable roadmaps. My focus was on creating scalable, data-first architectures that addressed complex business problems while delivering measurable outcomes across marketing and product functions.
  • AI/ML Systems Development:
  • I led the design and deployment of machine learning systems focused on content personalization and user intelligence. This included collaborative filtering, matrix factorization models, and NLP-based similarity engines, as well as experimenting with deep learning to improve recommendation accuracy and engagement metrics.
  • Data Engineering Modernization:
  • I spearheaded the modernization of client data platforms by implementing open-source and cloud-native solutions such as Airbyte, Fivetran, DBT, Airflow, and S3. My approach emphasized cost-efficiency, performance, and future scalability, helping clients move from legacy pipelines to flexible, maintainable architectures.
  • Trusted Advisor & Thought Partner:
  • Beyond implementation, I acted as a strategic advisor to client leadership — aligning their long-term data vision with technology choices. I played a key role in educating and enabling client teams to adopt best practices, ensuring lasting impact through knowledge transfer and capability building.
Data & AI Strategy ConsultingCross-team CollaborationData EngineeringAI/ML Systems Development

Clicksco

Data Scientist

Apr 2018Mar 2020 · 1 yr 11 mos · Hyderabad, Telangana, India

  • Drove AI-first product innovation in ad tech and content intelligence, combining deep technical execution with strong cross-functional collaboration to deliver measurable business outcomes.
  • AI-Powered Image Recommendation Platform:
  • Designed and launched an intelligent image recommendation system using CNNs, Word2Vec, and NLP pipelines. The platform improved creative personalization and significantly enhanced CTR, playing a pivotal role in aligning visual assets with user intent across marketing channels.
  • High-Throughput RTB Infrastructure:
  • Co-engineered a real-time bidding engine that processed over 7000 ad requests per second with sub-100ms latency. Leveraged deep learning models for CTR prediction and built a highly optimized tech stack using Python, Tornado, Redis, and AWS. This solution directly contributed to revenue efficiency and platform competitiveness.
  • Large-Scale Word Embedding System:
  • Led the training of a 15M+ keyword Word2Vec model using distributed Spark clusters and the Multiverso framework. The embeddings were integrated into targeting and content workflows, enhancing relevance in both paid and organic channels across multiple platforms.
  • Culture of Innovation & Agility:
  • Championed a culture of experimentation by piloting scalable ML architectures and automation-first approaches. Partnered with cross-functional teams to communicate complex ideas simply, advocate for adoption, and iterate quickly, fostering a fast-paced and inventive engineering environment.
Cross-team CollaborationAI Product DevelopmentMachine Learning

Teradata

Software Engineer

Jul 2015Apr 2018 · 2 yrs 9 mos · Hyderabad Area, India

  • Formed the foundation of my data and engineering journey by contributing to critical automation, infrastructure modernization, and team development — learning from and growing alongside seasoned engineering leaders.
  • Python-Based ETL Automation:
  • Built and maintained 35+ high-reliability ETL pipelines that powered analytics across large-scale Teradata systems. These pipelines automated key performance insights and cut down manual QA cycles by over 50%, significantly improving operational efficiency.
  • Cloud Infrastructure Transformation:
  • Contributed to the migration of legacy on-prem workloads to AWS, supporting infrastructure-as-code and DevOps workflows using open-source tools. These efforts improved deployment speed, lowered infra costs, and laid the groundwork for future cloud-native transitions.
  • Knowledge Sharing & Community Building:
  • Actively engaged in internal tech evangelism by running ML primers, Bitcoin learning sessions, and onboarding bootcamps for new hires. This period helped me develop strong skills in communication, mentoring, and technical writing.
  • Learning from Leadership:
  • This role sparked my leadership mindset. I closely observed and absorbed how experienced leaders aligned tech decisions with business goals, inspired teams, and solved complex challenges. It encouraged me to think beyond coding — taking initiative in process improvement, cross-team engagement, and driving quality-first thinking.
PythonCross-team CollaborationSoftware EngineeringAutomation

Education

University of Hyderabad

Master's degree — Computer Science

Jan 2013Jan 2015

ITS engineering college, UPTU

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2008Jan 2012

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