About
About Adithya Reddy Nalla
Three years of turning machine learning into operating leverage — from data pipelines to autonomous agents that do real work.
Lead AI Engineer at Eject Solutions Pvt Ltd · Hyderabad, India
What I do
I sit where engineering meets the boardroom. I build ML, NLP and agentic LLM systems end-to-end, then work alongside C-suite leaders to decide where those systems should point next.
I independently take AI work from idea to patent- and publication-ready — the same rigor goes into production pipelines as into peer-reviewed research.
3+
Years building ML, NLP & agentic systems
₹1.4Cr+
Business impact facilitated
3,000+
Qualified leads generated
20+ hrs
Staff time automated weekly, across 4 organizations
Experience
Mar 2024 — Present
Lead AI Engineer, Eject Solutions Pvt Ltd
- Built LLM-powered automation pipelines that replaced repetitive manual workflows across client operations.
- Designed an agentic AI architecture that was adopted as the company's production blueprint for new builds.
- Made model and pipeline deployment 40% faster.
Mar 2023 — Mar 2024
Marketing Analytics Analyst, INT360 Design Studio
- Automated recurring reporting and data workflows, freeing the team from manual spreadsheet work.
- Built campaign and performance dashboards used for weekly marketing decisions.
- Designed and analysed A/B tests to validate creative and channel choices with evidence.
On the growth side, I’ve run lead-generation, admissions and election campaigns: ₹1.4Cr+ revenue facilitated, 3,000+ qualified leads, 29/29 election seats won. See the marketing section.
Projects
- GBNI: Generative Brand Narrative IntelligenceGBNI (Generative Brand Narrative Intelligence) is a state-aware multimodal AI agent framework for emotionally adaptive brand communication, on SSRN.
- MITHRA: Cybercrime Rapid-Response and Intelligence PlatformMITHRA is Adithya Reddy Nalla's self-directed R&D platform for responding to cybercrime quickly and turning incident signals into usable intelligence.
- Diabetes Risk Prediction Web AppAn explainable diabetes risk prediction web app: a tuned Random Forest (82%+ accuracy, 0.87 ROC-AUC) with SHAP explanations, deployed on Streamlit.
Research
- When Everyone has AI: A Theory of Marketing Advantage under Algorithmic ParitySSRN · Oct 2026 · Abstract ID: 7575263
- Generative Brand Narrative Intelligence v2: Consistency-Governed, Causally Self-Optimizing, and Multi-Tenant Extension of the Emotionally Adaptive Brand Narrative (EABN) FrameworkSSRN · Sept 2026 · Abstract ID: 7531958
- Generative Brand Narrative Intelligence: A State-aware Multimodal Agent Framework for Autonomous Emotionally Adaptive Brand CommunicationSSRN · May 2026 · Abstract ID: 6845958
- Diabetes Data Analysis and Machine Learning Based Prediction Model on Streamlit Web AppInternational Journal of Scientific Research and Engineering Development (ijsred.com) · Oct 2022
Education
B.Tech, Data Science, KL University (2019 — 2023), 8.1 CGPA.
Contact
Email adithyareddy639@gmail.com or connect on LinkedIn. I also write on the blog.