Building scalable platforms & transforming raw data into actionable insights, intelligence, and business impact.
Have architected and built the complete data and backend tech stack for two startups focused on carbon capture and carbon tracking across enterprise sustainability use cases.
Bringing over 7 years of experience uncovering high-impact business growth insights from raw, complex data, with a persistent, execution-driven approach to solving challenging data problems and a strong end-to-end ownership mindset.
Built complete data and backend tech stack for a startup focused on carbon capture monitoring using IoT sensors and cloud-native data pipelines.
Architected data infrastructure for enterprise sustainability use cases including carbon tracking across supply chains.
Active member of a global community dedicated to promoting peace, social justice, and sustainable living through public education, research, and the advancement of psychology.
Classified autonomous drone defence system currently in development. Leveraging advanced sensor fusion, real-time threat assessment, and intelligent response coordination. Details restricted.
Autonomous multi-agent system for orchestrating ETL pipelines with LLM-powered decision nodes, self-healing architecture, and automatic data quality monitoring.
AI-powered agent for natural language to SQL translation, autonomous data exploration, knowledge graph traversal, and auto-generated insight dashboards.
Converting the dissertation research into an industry-grade product for real-time driver attention monitoring - productionizing the deep CNN pipeline for fleet safety & commercial deployment.
Dissertation (completed): Deep CNNs and Explainable AI (XAI) for identifying fatigue patterns through vision-based facial analysis for improved road safety. Now being converted into an industry-grade product.
IoT architecture for DAC with NDIR-based CO₂ sensing, MQTT transmission, AWS cloud pipeline, and QuickSight dashboard.
Weather-aware delay prediction integrating flight records with NOAA data. Logistic regression with odds ratios for interpretable risk assessment.
Multi-camera face re-identification using CNN-based detection, deep embeddings, and similarity-based metric learning in campus deployment.
Master of Technology - Data Science & Engineering
May 2024 – Apr 2026Machine Learning (Coursera Certification)
2019Bachelor of Engineering - Computer Science
2015 – 2019Journal of Air Pollution and Health · Published Online: 27 Dec 2023
Co-authored "Design and fabrication of a system to capture ambient CO2," highlighting operational and sorbent parameters to improve DAC performance. View publication · ResearchGate.
NABARD & ONDC · Associated with qZense Labs · Jul 2022
Recognized among 300+ startups nationwide for a quality assessment innovation use case during the 4-day national hackathon.
FKCCI · Climate Change Sector · 2022
Business plan "Design and Fabrication of a System to Capture Ambient CO2" ranked in the top 5 out of 650+ national entries.
Hy-Vee · Production Recovery Milestone · Jul 2025
Recognized for coordinated incident response that restored 45+ impacted production jobs in under 12 hours.
Hy-Vee · Q2 2024 & Q2 2025
Hy-Vee · Dec 2023
Integrating additional verification into file transmission pipeline for heightened security.
Hy-Vee · Sep 2023
Razorpay · Dec 2020
INARA: A Ray of Hope · 2021
Contributed poems and poetries as one of the authors in the anthology "Spectrum of Thoughts."
Abhishek single-handedly built our entire data infrastructure from scratch - backend, pipelines, the whole nine yards. What stood out wasn't just the technical depth, it was the ownership. He treated every problem like it was his own company on the line. It is uncommon to find someone who brings that level of accountability and just refuses to ship anything less than production-grade.
I've worked with many engineers, and Abhishek thinks differently. He doesn't just write code; he architects solutions with a clarity that's hard to come by. The way he broke down our carbon tracking platform into clean, scalable modules while keeping delivery timelines tight - that's leadership in action. No hand-holding needed, ever.
I was truly impressed by his expertise in GCP services like Dataflow, Dataform, Cloud Functions, Python, and SQL. He demonstrated strong skills in data pipeline and architecture design, playing a key role in developing a new CI/CD pipeline architecture.
Abhishek has consistently demonstrated exceptional skills and dedication. His problem-solving aptitude and proactive approach to challenges sets him apart. He consistently delivers high-quality solutions that enhance data accessibility, reliability, and performance.
Abhishek has been a key member of our team - impressively acquiring new skills such as GCP, SSIS, REST, and GraphQL APIs. His proactive approach to delivering milestones independently serves as an inspiration.
Whether you want to discuss data engineering, ML architecture, Agentic AI, or just say hello - I'm always open to connecting.