Uttam Panda

Owned EU strategy and delivery alignment for AI + Data Analytics initiatives, translating customer needs into an execution roadmap and measurable outcomes. Led cross-functional collaboration across engineering, partners, and stakeholders to position telemetry-driven performance analytics as a core differentiator for large platforms. Sponsored pilot programs and partnerships focused on quality-of-experience / quality-of-service (QoE/QoS) insights for high-scale digital services. Drove operational rigor across initiatives: prioritization, milestones, delivery governance, risk management, and executive communication.

Led product storytelling and narrative strategy for brands, translating complex value into clear messaging and launch assets. Delivered multi-format creative programs (on-location shoots, animation, illustration) supporting go-to-market execution and customer engagement.

Founded AIDoings to turn AI into measurable outcomes, using an AI Value Calculator and AI Readiness Assessment to prioritize use cases and ROI. Led end-to-end delivery from discovery → architecture → production rollout, integrating AI into existing systems. Managed engineers directly (hiring, mentoring, performance), setting delivery standards and execution cadence. Built streaming telemetry pipelines to power near-real-time analytics and operational insights. Implemented observability + data governance to ensure trusted metrics.

Led strategy and execution planning for technical programs, aligning engineering stakeholders, delivery, and partner ecosystem to improve outcomes. Built structured initiatives to address capability gaps, streamline execution, and improve customer satisfaction through clearer delivery governance. Drove stakeholder communication and decision-making across ambiguity, balancing speed, quality, and long-term scalability.

Maddy was a self-funded K–12 STEM education startup focused on making experiential learning affordable and scalable. Led the design and roadmap for hands-on robotics/STEM kits for learners Grade 5+, from concept to classroom outcomes. Owned end-to-end product execution with the team (design → prototyping → manufacturing → iteration) to deliver reliable, classroom-ready kits. Authored and structured STEM learning content (books/curriculum) from Kindergarten to Grade 12, aligned to age-tiered learning goals. Built and scaled a 70-member engineering team, establishing delivery standards, team structure, and execution cadence. Delivered measurable impact: teacher training programs, STEM labs deployed in 5 schools in Tier-3 cities, and an affordable product range priced ~50% below market through Make-in-India manufacturing.

Working with the mission towards the redefining the India Education

www.iamheuristic.com - Innovated World’s 1st Startup Game & Game Based Entrepreneurship Development Program “Heuristic”! Vision-Nurturing Entrepreneurship at Grassroots level -Globally!

Insilico has been nominated for the ELECRAMA Startup Awards 2018 for its vision to deliver socially, financially and environmentally inclusive impactful projects in the coming years.

Initiated Automotive Software development team with a small team and enhanced the team to 100+ engineers within 18 months of engagement and working towards building solutions for Connected Car System (activities spread across System Integration & Testing, HMI development using Android/Kotlin, Feature Enhancement, Android dessert porting, Connected Services Framework development & enhancement and Internalization of Android alliance software platform). Achievements: • Building teams from scratch, Scaling the automotive software teams, Defining, and delivering high quality software deliverables inline to targeted Software Metrics. Experience includes journey in both Software Services companies and Product development companies. • Responsible for P&L, pyramid optimization, business winning - contributing to RFQs, winning business, executing and scaling business Initiated Automotive Software development team with a small team and enhanced the team to 100+ engineers within 18 months of engagement and working towards building solutions for Connected Car System (activities spread across System Integration & Testing, HMI development using Android/Kotlin, Feature Enhancement, Android dessert porting, Connected Services Framework development & enhancement and Internalization of Android alliance software platform). • Responsible for building, acquiring, and managing the team consisting of multiple agile squads performing Android dessert porting, developing, enhancing, and deploying software solutions for the vehicle embedded, multimedia and cockpit divisions. • Planning and overseeing the entire software product development process, system integration and aggregation of Software solutions in collaboration of OEMS and associated partners. Adopting agile software development process, working with Software architects, Scrum masters, Product owners on requirement/ design/ development/integration of software components and responsible for product delivery line

-• Understand business change needs, assess the impact of those changes, capture, analyse and document requirements, communicate and deliver those requirements with relevant stakeholders • Worked closely with Central Team in strategic business programmes to define and integrate requirements • Analyzed large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth • Translate business requirements into tangible solution specifications and high quality, on time deliverables • Develop innovative solutions leveraging new analytical methodologies and tools to reduce costs • Apply quality control, data validation, and cleansing processes to new and existing data sources • Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals • Set-up the Connectivity Lab for WiFi and Bluetooth

Artificial Intelligence concepts including search, optimization, planning, pattern recognition, Convolution Neural Networks, Recurrent Neural Networks and LSTM. Applications for Generative Adversarial Networks, Natural Language Processing and Computer Vision. Following projects are completed as part of the Nanodegree: Project 1: Facial Keypoint Detection and Real-time Filtering using OpenCV and CNN. Project 2: Language translation model for English to French using sequence-to-sequence model. Project 3: Automatic Speech Recognizer using Deep Learning Recurrent Neural Network (RNN). Project 4: Sentiment Prediction Using Convolutional Neural Networks (CNN) and RNN. Project 5: Dog Breed Classifier using Convolutional Neural Networks (CNN). Project 6: Build a Game-Playing Agent. Project 7: Build a Sign Language Recognizer using Hidden Markov Models (HMMs). Project 8: Time Series Prediction and Text Generation.

Bachelor in Electronics and Telecommunication Engineering

Digital Marketing