Headline

Leading AI Innovation | Driving Business Growth & Transforming Healthcare with Agentic AI & Analytics | LLM Optimization

About

As a seasoned Data Science Manager with over 11 years of experience, I am at the forefront of integrating Generative AI, Machine Learning, and operational excellence. Currently, I lead innovation at Solutionec, where I focus on developing AI-powered products that convert complex data into strategic assets. Driven by a passion for exploring new technologies and building a strong technical foundation, I pursued a Master’s in Machine Learning & AI from Liverpool John Moores University and a Post Graduate Diploma from IIIT Bangalore. I excel in problem-solving, from creating LLM evaluation frameworks to developing core ML models tailored to specific use cases. Core Expertise: • Gen-AI & LLMs - Proficient in LangChain, Vector DBs, Prompt Engineering, and Agentic Orchestration. • Product Leadership - Experienced in the end-to-end development of AI analytics tools for Healthcare & Life Sciences. • Technical Stack - Skilled in Python (Pandas, TensorFlow, Keras), SQL, C#, and OpenCV. • Strategic Impact - Demonstrated ability to achieve annual savings of up to $1M and earn CEO-level recognition for innovation. I am enthusiastic about “Vibe-Coding,” MCP, and mentoring high-performing teams to deliver impactful, error-free solutions. Let’s connect to explore the future of Agentic AI.

Location

Bengaluru

AI stack

claude code

claude

langchain

mcp

n8n

Pinecone

Work experience

Manager II, Data Science and Innovation at Solutionec, Aug 2022 - Present · 4 y, Bengaluru, Driving a culture of innovation within the Data Science & Innovation team, leveraging Python, R, and SQL to deliver data-driven solutions that enhanced customer engagement while managing multiple high-impact projects concurrently • Engineered the in-house Flash Insight, an analytics application automating insight generation and trend analysis, which achieved a 40% reduction in data analysis time • Enhanced data quality issues by approx 70%+ by smart data enrichment/ autocorrection and grouping them based on similarity • Devised Gen-AI powered innovation using market trends, economic indicators, & competitor data for intelligence. Delivered insights via analytics frameworks, enhancing decision-making • Pioneered LLM evaluation frameworks and implemented sentiment analysis models for advanced analytics use cases, optimizing model performance and business value • Led global innovation initiatives for the Incentive Compensation application, streamlining processes & significantly enhancing user experience to boost overall performance

Senior Data Scientist at Solutionec, Jan 2022 - Aug 2022 · 8 mos, Acted as the technical lead for advanced analytics use cases, focusing on model performance, lifecycle management, and enterprise-grade data quality. • Pioneered LLM evaluation frameworks and implemented sentiment analysis models, ensuring rigorous quality standards for advanced analytics products • Optimized enterprise ETL tool deployments, reducing processing time by 30% and improving data pipeline reliability • Engineered smart data enrichment and auto-correction algorithms that improved data quality by 70%, facilitating more accurate downstream ML modelling • Bridged the gap between raw data and business insights by integrating machine learning models into user-facing decision-making tools

Tech Lead at Honeywell, Jul 2021 - Feb 2022 · 8 mos, Bengaluru, Karnataka, India, Led software-industrial integration and automation initiatives for aerospace and automotive systems, ensuring strict compliance with regulated industry standards (DO-178B/C) • Systems Engineering -> Designed and implemented a flame detection/classification system achieving up to 95% accuracy, utilizing computer vision (OpenCV) and neural networks. • DevOps & Automation -> Engineered a robust automation framework for handheld computers using ADB and UI-Automator, reducing cycle time and costs by 40%. • Compliance & Reliability -> Led hardware-software integration for major aircraft platforms (Airbus, Gulfstream), utilizing VectorCAST to ensure 100% adherence to safety-critical certification standards. • Operational Efficiency -> Developed a Linux-based coverage mechanism and TQL-5 test automation, delivering over $1M in annual savings through technical innovation and process optimization.

Senior Embedded Engineer at Honeywell, Sep 2017 - Jul 2021 · 3 yrs 11 mos, Bengaluru, Karnataka, India, • Created OCR and static object verification for Graphics Test Automation Suite • Developed a Flame detection and Flame classification with an accuracy of 93% and 95% respectively. • Built a logistic classification and a rule-based parser (NLP solution) for end-to-end test generation and reduced the cycle time by 20% • Performed data analysis on sensor data for testing the performance metrics with a threshold of 1% error rate. • Designed a Unified Test Automation Framework using WPF C# to enable an end-to-end testing environment. • Developed numerous utilities on Win-forms and WPF applications which Improved cycle time by 20% year on year. • Devised an automation framework for Honeywell’s Safety and Productivity Solution (SPS) team for testing handheld computers and improved the cycle time and cost by 40%. Improved the scalability and maintainability of test scripts with evolving Android versions. • Devised a Linux-based coverage dumping mechanism for Advanced Surveillance Module and showed savings of $50k. • Hardware-software integration testing of flight software (Cockpit displays) for Embraer, Airbus, Falcon, Gulfstream, and Pilatus in compliance with DO-178B and DO-178C. • Involved in low-level and high-level requirement based testing (RBT), Hardware-software integration testing along with coverage collection and structural gap analysis. • Worked closely on DO-178B and DO-178C compliant end-to-end verification and validation of flight software. • Formulated Graphics automation for object detection and (Optical char recognition) OCR using Keras • Involved in RPA and Test Design and Environment Automation steering team. • Worked on Winforms/WPF Applications using .NET framework for Strategy and Tools team (Python, C#, XAML and C++).

Engineer at Honeywell, Aug 2015 - Sep 2017 · 2 yrs 2 mos, Bangalore Area, India, • Completed Aero ground school training (Phase-1). • Certified Six Sigma Expert. As part of the certification program I have developed a Test-report summary utility in C#. This showed significant reduction in the cycle time and showed a productivity savings of approx. $ 1M USD. • Developed a test design automation framework for logical requirement. This involved requirement extraction, logic processing and generating test script from test vectors.

Summer Intern at Defence Research and Development Organisation, May 2014 - Jul 2014 · 3 mos, Hyderabad, Andhra Pradesh, India

Winter Intern at Nuclear Fuel Complex, Department of Atomic Energy, India, Dec 2012 - Jan 2013 · 2 mos, Hyderabad, Andhra Pradesh, India, • Worked on control systems, Human-Machine Interface (HMI) and PLCs • Worked on Uranium pallet quality classification using sensors and image processing

Education

Master of Science - MS, Artificial Intelligence and Machine Learning, Liverpool John Moores University

Post Graduate Diploma, Machine Learning and Artificial Intelligence, International Institute of Information Technology Bangalore

Public links

github: https://github.com/nikhilpakki