Artificial Intelligence Specialists

Candidate Name: Sreekanth V (327)

Industry: Artificial Intelligence: Senior Artificial Intelligence (AI) Engineer | Digital Signal Processing (DSP) Research Scientist

Immigration Status: Waiting on offer of employment for Visa application

Profile Summary

Senior AI/ML and DSP engineer with 12+ years’ experience delivering research-led algorithms and production solutions across healthcare, automotive/ADAS, and defence. Strong track record developing signal processing and machine learning for ECG, radar/lidar/sonar, and accelerometer data, alongside deep learning for computer vision (detection, classification, semantic segmentation). Known for translating complex sensor data into accurate, reliable models, working cross-functionally, and building performant implementations in Python, MATLAB, C/C++.

Core Skills

AI / Machine Learning

• Neural networks, deep learning, autoencoders, SVM, Random Forest
• Classification, activity detection, beat classification, semantic segmentation

Signal Processing (DSP)

• ECG processing, radar/lidar sensor modelling, SONAR signal processing
• Sensor simulation for autonomous systems (occlusion, weather effects, measurement error, ghost objects, detection error)

Programming & Tools

• Python, MATLAB, C, C++, R
• TensorFlow, Scikit-learn, Pandas, SQL
• Qt, Intel-MKL, ATLAS; Carmaker; Matplotlib/Seaborn
• Linux, Windows

Experience Snapshot

Senior Software Engineer, Signal Processing Team |

• Developed ML algorithms for ECG beat detection and classification
• Built ML approach to estimate core temperature from vital parameters
• Designed activity detection and step count analytics from accelerometer data

Senior DSP Scientist, Algorithms Team 

• Built radar-based algorithms for infant chest position, breathing rate and heart rate detection
• Led DSP and ML initiatives for wearable baby monitoring solutions

Module Lead, ADAS Innovation Group

• Computer Vision team: image signal processing + deep learning for ADAS
  • Developed emergency vehicle flashing light detection; worked on autoencoder-based semantic segmentation; traffic sign detection/classification with DNNs
• Sensor Simulation team: led simulation of radar/lidar behaviours for autonomous systems using MATLAB/Python and Carmaker

Software Engineer

• Prototyped image classification using SVM / Neural Networks / Random Forest; segmentation and object recognition

Naval Physical Oceanographic Laboratory (DRDO) 

• Developed adaptive array signal processing for detection/tracking/classification using multi-channel SONAR hydrophone arrays
• Implemented C++ solutions using Qt, Intel-MKL and ATLAS

Qualifications

• Master of Science (by Research) – Wireless Communications, IIT Madras (2014) — NZQA assessed at Level 9 of NZQF
• Bachelor of Technology – Electronics & Communication Engineering, Cochin University of Science and Technology (2008)
• IT Professionals New Zealand (ITPNZ): assessed as meeting benchmark educational requirements towards Chartered IT Professional (CITPNZ) and aligned to occupations on the Immigration NZ Green List

Certifications

• Udacity Nanodegree – Computer Vision Foundation
• Coursera: Digital Signal Processing Specialisation (EPFL – Paolo Prandoni & Martin Vetterli)
• Coursera: Deep Learning Specialisation (Andrew Ng)
• Coursera: Machine Learning (Andrew Ng)
• edX: Learning From Data (Introductory Machine Learning) (Caltech – Yaser S. Abu Mostafa)
• edX: Introduction to Computer Science and Programming Using Python (MIT – Eric Grimson)
• Coursera: Machine Learning Foundations: A Case Study Approach (University of Washington)
• Stanford Online: Learning Theory

Publications

• “Co-ordinate interleaved non-orthogonal amplify and forward relaying protocol”, National Conference on Communications (NCC), 2013
• “A study of numerical linear algebra library in the context of adaptive array beamforming”, SYMPOL, 2009

Roles Sought in New Zealand

Senior AI/ML Engineer | Computer Vision Engineer (ADAS) | DSP / Signal Processing Engineer | Sensor Fusion / Perception Engineer | Applied Research Scientist (Healthcare/Automotive/Defence)

Candidate Name: Adit K (349)

Industry: Senior Product Manager | Strategy & Operations | AI & Data-Driven Product Specialist

Experience | NZQA Level 8 Qualification

Immigration Status:  Waiting on confirmation of a job offer to complete Visa

Professional Profile

Adit is a highly experienced Product and Strategy Leader with over 13 years of experience delivering data-driven product solutions, operational improvements, and strategic initiatives across global organisations. He brings a strong background in product management, analytics, and business operations, with a proven ability to lead cross-functional teams and deliver scalable, high-impact outcomes.

Currently working as an Associate Product Manager at FactSet, Adit leads product operations and quality initiatives, driving measurable improvements in performance, efficiency, and customer experience. He has successfully implemented AI-powered solutions, including chatbots and knowledge base systems, reducing support dependencies and enhancing self-service capabilities. His approach is highly analytical and outcome-focused, with a strong emphasis on continuous improvement and operational excellence.

Adit has worked across leading global organisations including Deloitte, DuPont, and Coromandel International, where he has delivered strategic insights, built executive dashboards, and supported business-critical decision-making. He is recognised for his ability to translate complex data into actionable strategies, improve processes, and enhance product performance.

He is an effective communicator and collaborative leader, experienced in working with engineering, data, and business teams to align product strategy with organisational goals. His expertise spans Agile methodologies, stakeholder management, AI integration, and performance optimisation.

Certifications & Qualifications

• Post Graduate Diploma in Management (Marketing) – NZQA Level 8 equivalent

• Bachelor of Business Administration (Marketing Management & Research)

• Product Management Certification – Product Institute

• Six Sigma Green Belt (Process Improvement & Quality Control)

• Strategic Management – IIM Bangalore

• Business Analytics (Marketing)

• Project Management – International Projects

Key Skills

• Product Management & Product Operations

• AI & Automation (Chatbots, Prompt Engineering, Knowledge Systems)

• Data Analytics & KPI Tracking

• Agile Delivery (Scrum, Kanban)

• Business Strategy & Market Analysis

• Stakeholder Engagement & Cross-Functional Leadership

• Process Improvement & Operational Excellence

Target Roles

Adit is seeking opportunities in New Zealand in roles such as:

• Senior Product Manager / Product Manager

• Product Operations Manager

• Strategy & Operations Manager

• Business Analyst / Product Analyst

• AI / Data-Driven Product Specialist

Visa Status

Adit is visa-ready and working with an accredited New Zealand Immigration Advisor. He requires only a job offer to have his visa issued and is able to relocate promptly to commence employment.

Candidate Name: Manish S (361)

Industry: Information Technology: Senior Portfolio Analyst | Digital Transformation & AI/ML Solution Architect | 24+ Years Experience

Immigration Status:  Waiting on confirmation of a job offer to complete Visa

Professional Summary

This highly experienced technology professional brings over 24 years of global IT leadership experience, specialising in enterprise architecture, digital transformation, AI/ML solutions, and large-scale technology programme delivery. With a career spanning complex industries including Oil & Gas, industrial technology, education platforms, and enterprise systems, this candidate has consistently delivered innovative digital solutions that improve operational efficiency and business performance.

Holding a Master of Science in Embedded Systems and Robotics (NZQA assessed at Level 9 on the New Zealand Qualifications Framework), along with advanced qualifications in computer applications and engineering disciplines, Manish brings a strong academic foundation combined with extensive industry expertise.

Key Technical Skills

• Enterprise & Solution Architecture – TOGAF-aligned architecture, microservices design, cloud-ready application ecosystems and enterprise platform integration.
• Digital Transformation & AI/ML Solutions – Designing predictive analytics, Digital Twin systems, IoT monitoring platforms, and data-driven enterprise solutions.
• Portfolio & Programme Governance – Managing complex IT portfolios, vendor ecosystems, budgets, and multi-phase digital programmes.
• Cybersecurity & Data Governance – Architecture alignment, secure API design, data governance frameworks and cloud security oversight.
• IT/OT Integration – Aligning operational technologies with enterprise IT platforms to enable real-time analytics and operational optimisation.
• Business Analysis & Process Optimisation – Requirements engineering, workflow optimisation, cost-benefit analysis and digital transformation strategy.

Technology Expertise

• Programming Languages: Python, Java, C, C++, C#, Pascal
• Frameworks: Spring, Struts, MVC .NET
• Databases: SQL Server, Oracle, MySQL
• Cloud & Platforms: Azure, AWS architecture frameworks
• Enterprise Systems: SAP Plant Maintenance (PM), API ecosystems, data lake architectures
• Tools: MS Project, Visio, Lucidchart, Rational Rose
• Embedded Systems & Robotics: FPGA design, Verilog, VHDL, microcontroller platforms and hardware-software co-design.

Career Highlights

• Directed a USD 12M enterprise IT portfolio, overseeing architecture governance and digital strategy for mission-critical programs.
• Led the development of Enterprise Digital Twin and Predictive Maintenance solutions, enabling real-time operational insights and multi-million-dollar efficiency improvements.
• Designed and implemented large-scale data integration platforms connecting SAP, IoT systems, operational data platforms, and enterprise data lakes.
• Architected complex digital platforms including API hubs, enterprise analytics dashboards, and operational excellence data systems supporting strategic decision-making.

Suitability for New Zealand Employers

With extensive international experience delivering enterprise architecture, AI-enabled digital transformation, and advanced data platforms, this candidate offers highly valuable expertise for organisations undertaking large-scale technology modernisation or digital innovation initiatives.

Their strong qualifications, senior leadership experience, and deep technical capability make them well suited to contribute to New Zealand’s growing technology sector, particularly in industries such as energy, infrastructure, engineering, enterprise software, data analytics, and digital transformation programmes.

Manish would add immediate value to organisations seeking senior technology leadership, solution architecture expertise, or strategic digital transformation capability.