I am a Senior Software & Machine Learning Systems Engineer at Adobe (Santa Clara, CA), working on core Generative AI platforms and multi-tenant LLM agent runtimes for Adobe Brand Concierge (and previously Adobe Journey Optimizer). My work spans end-to-end agent orchestration (PydanticAI, Model Context Protocol), grounded RAG with sub-second neural cross-encoder rerankers, automated prompt/program optimization (GEPA, DSPy), and high-throughput streaming serving infrastructure.
Prior to Adobe, I earned my Master’s in Computer Science from the University of California, Irvine (GPA: 3.94/4.00), where I researched in-context learning, prompt robustness, and chain-of-thought reasoning in LLMs under Dr. Sameer Singh. I completed my B.Tech at the Indian Institute of Technology, Kharagpur (Electrical Engineering with a minor in Computer Science;GPA: 9.04/10.00; All India Rank 481 in IIT-JEE Advanced & AIR 120 in JEE Mains).
Earlier in my career, I engineered real-time IoT vehicle telemetry microservices and compliance systems at TruckX, built search autocomplete and analytics microservices at Adobe TechComm (2018–2021), and conducted cloud performance research at Adobe Research’s BigData Experience Lab (2017), winning the Best Intern Project Award and co-authoring US Patent US20190354388.
Outside of engineering, I am an avid sports enthusiast with a strong passion for badminton, a keen follower of equity markets, and a lifelong believer in forming rigorous hypotheses and validating them with empirical data.
Daily curated briefings on AI systems, LLM infrastructure, markets, and engineering deep-dives in a high-density Techmeme edition format.
Stan Weinstein Stage 2 sector momentum scanner, market intelligence briefings, portfolio audits, and book-length company monographs for NYSE/NASDAQ & NSE/BSE.
Structured travel dossiers, route planning, logistics matrices, and field research across destinations.
Abstract & BibTeX
@inproceedings{mekala2024echoprompt,
title={EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-Context Learning},
author={Mekala, Rajasekhar Reddy and Razeghi, Yasaman and Singh, Sameer},
booktitle={Findings of the Association for Computational Linguistics: NAACL 2024},
year={2024},
url={https://arxiv.org/abs/2309.10687}
}
Abstract
Adobe Brand Concierge (BCOS) — Enterprise Multi-Tenant LLM Agent Platform
- Agent Orchestration Engine (BCOS): Architected the unified PydanticAI agent runtime with declarative manifest compilation, replacing multi-hop legacy services with a single high-performance runtime supporting Agent-to-Agent (A2A) JSON-RPC protocols.
- Neural Source Attribution & Lucid Lens Inference: Engineered a factory-based source attribution engine with remote cross-encoder rerankers (BGE-M3, E5-curriculum) and CPU-only ONNX Runtime (ORT) TEI microservices reranking 30+ passages per batch with sub-second p50 latency (588ms–796ms).
- Automated Agent Optimization (Eval Studio): Integrated Genetic-Pareto Prompt Optimization (GEPA) and DSPy into Eval Studio, achieving Pareto-optimal prompt mutations with 35x fewer rollouts than RL baselines.
| Date | Update |
|---|---|
| Aug 15, 2024 | Architecting core multi-tenant agent systems (BCOS) and neural retrieval infrastructure for Adobe Brand Concierge. |
| Mar 13, 2024 | Our paper “EchoPrompt” accepted to NAACL 2024. |
| Nov 27, 2023 | Started working at Adobe (San Jose) in the Adobe Journey Optimizer team. |
| Aug 08, 2023 | Started as Software Developer at TruckX (IoT & Fleet Telemetry). |
| Jun 20, 2023 | Graduated with M.S. in Computer Science at UC Irvine (GPA 3.94/4.00). |
| Dec 05, 2022 | Attended EMNLP 2022 in Abu Dhabi to present SNOOPY. |
| Oct 06, 2022 | Published first NLP system demonstration paper (SNOOPY) at EMNLP 2022. |
Experience
- 2023–Present: Senior AI Systems Engineer, Adobe Inc. (Santa Clara, CA)
- 2023: Software Developer, TruckX Inc. (San Jose, CA)
- 2021–2023: Graduate Student Researcher & GTA, UC Irvine (UCI NLP Lab)
- 2018–2021: Member of Technical Staff 1 & 2, Adobe Inc. (Bangalore)
- Summer 2017: Research Intern, Adobe Research (BigData Experience Lab)
Education
- M.S. in Computer Science, UC Irvine (2021–2023) • GPA: 3.94/4.00
- B.Tech in Electrical Engg. (CS Minor), IIT Kharagpur (2014–2018) • GPA: 9.04/10.00
Key Honors
- Adobe Spot Award (2020) & Special Contribution Award (2019)
- Best Intern Project Award (2017), Adobe Research
- IIT-JEE Mains AIR 120 & JEE Advanced AIR 481 (2014)
- KVPY Fellowship & IMO Training Camp (2014)
- The Morning Brief — Daily AI & Tech Wiki
- Portfolio Research Desk — Stage 2 & Dossiers
- Travel Research Desk — Trip Monographs
- 2048 in React — Interactive Web Game
- GitHub (@rajasekharmekala)
- Google Scholar Profile
- LinkedIn Profile
- Medium Blog (@aalochan)