Aakriti Aggarwal

AI Researcher

Bengaluru, Karnataka, India3 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built production-grade GenAI systems with a focus on reliability.
Recognized as a Microsoft MVP and top AI creator.
Authored technical blogs on real-world AI system design.

Stackforce AI infers this person is a SaaS-focused AI Research Engineer with expertise in GenAI and enterprise solutions.

Contact

Skills

Core Skills

GenaiArtificial Intelligence (ai)Technical WritingData ScienceSoftware DevelopmentCloud-native ApplicationsNatural Language Processing (nlp)

Other Skills

Customer Facing RolesBloggingBackendPython (Programming Language)Technical DiscussionsDatabasesSAP BTPComputer ScienceTensorFlowPythonComputer VisionLarge Language Models (LLM)Large Language Model Operations (LLMOps)PDPPolicy Enforcement

About

GenAI builder bridging technology and business. 🎤 Speaker • ✍️ Blogger • 🧪 Open to testing AI products and providing honest technical + product feedback - feel free to reach out. 🔹 TL;DR I build production-grade GenAI systems - not demos. I work on LLM applications, RAG pipelines, and AI agent systems, focusing on reliability, security, evaluation, and governance in production. Focus areas: → LLM (Granite) → Retrieval-Augmented Generation (RAG) → AI agents & orchestration → AI system design & architecture → AI security, permissions & governance → Evaluation, monitoring & cost tradeoffs 𝗖𝘂𝗿𝗿𝗲𝗻𝘁: AI Research Engineer @ IBM Research (Granite) 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻: Microsoft MVP (AI) · IBM Growth Award · SAP Expert AI Speaker · Hackathons Winner · IEEE-published research 𝗢𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗼𝗿: Creator of multi-agent-generator, a Python library for building and orchestrating multi-agent AI systems, used by 6,000+ developers. I share practical insights on building, deploying, and maintaining real-world AI systems at scale. Occasionally available for talks, technical reviews, and collaborative work. For collaboration: contentaakriti13@gmail.com Medium Blog - https://aakriti-aggarwal.medium.com/ Github - https://github.com/aakriti1318

Experience

3 yrs 10 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 1 mo

Current Experience

Ibm

2 roles

AI Research Engineer (Granite)

Jan 2026 – Present · 4 mos

Using Granite or thinking about it? My DMs are open - feedback welcome 👋

Senior AI Engineer (Band 7B)

Jan 2024 – Jan 2026 · 2 yrs

1. Led the architecture and deployment of enterprise GenAI solutions (multimodal, RAG, agentic) using watsonx and open-source LLMs, driving €XXM in revenue.
2. Delivered a large-scale code-RAG platform (40+ GB) that improved developer productivity and reduced dependency on senior engineers.
3. Drove a 90% latency reduction in document enrichment pipelines by leading async, caching, and I/O optimization initiatives.
4. Established enterprise AI governance by designing a policy-driven AI proxy (PDP) for security, compliance, and prompt-injection defense.
5. Led development of multi-agent systems and scalable APIs to power complex enterprise workflows and AI integrations.

GenAICustomer Facing RolesArtificial Intelligence (AI)

Microsoft most valuable professional

Microsoft MVP

Apr 2025 – Present · 1 yr 1 mo

Authored in-depth technical blogs on Azure AI Foundry and OpenAI, focusing on real-world GenAI system design, deployment patterns, and production considerations.
Conducted technical sessions and knowledge-sharing talks on LLMs, RAG pipelines, and AI agents, translating research concepts into practical, scalable implementations.
Actively contributed to the AI community through content creation, mentorship, and feedback loops between industry use cases and platform capabilities.

Sap

2 roles

Associate Software Developer

Jul 2022 – Jan 2024 · 1 yr 6 mos

1. Spearheaded the design and deployment of an LLM-driven testing automation platform for log analysis, bug tracking, and reporting, slashing manual effort by 80%, recognized by MD of SAP Labs India - Sindhu Gangadharan.
2. Scaled infrastructure for 25,000+ enterprise customers through AI-enabled cloud migration and performance optimization initiatives.
3. Demonstrated the solution to SAP clients, highlighting measurable improvements in cloud adoption and enterprise AI integration

Data ScienceBackendPython (Programming Language)Software DevelopmentTechnical Discussions

Associate Software Developer Intern

Feb 2022 – Jul 2022 · 5 mos

Built and deploy Cloud Native applications and also worked on building end to end scenario and extensions on Business Technology Platform (BTP).
As a SAP iXp Intern committee member, I effectively led a team of interns, demonstrating my ability to build relationships, foster collaboration, and deliver exceptional results.

DatabasesSAP BTPSoftware DevelopmentComputer ScienceCloud-Native ApplicationsTechnical Discussions

Medium

Writer

Mar 2022 – Present · 4 yrs 2 mos

I write engaging fictional stories that will transport you to other worlds. Also, I share my technical expertise through informative blog posts about various topics, such as interview experiences and other tech-related insights. Whether you're looking to escape reality or learn something new, you'll find something here to pique your interest.

BloggingTechnical WritingGenAIArtificial Intelligence (AI)

Vasitum

Data Science Summer Intern

Jun 2021 – Aug 2021 · 2 mos

Document Classifier: Created dataset for training model. Developed an NLP based document classifier having an accuracy of 87%, extracted words from PDFs and calculated probabilities of each word. Worked on resume parsing and text extraction

Natural Language Processing (NLP)Data ScienceTensorFlowPythonTechnical DiscussionsComputer Vision

Girlscript summer of code

Open Source Participant

Feb 2021 – May 2021 · 3 mos

TensorFlowComputer Science

Medtoureasy

Data Science Intern

Jan 2021 – Feb 2021 · 1 mo

Runkeeper Fitness: Studied and Analyzed Fitness Dataset. Performed Data Pre Preprocessing and Visualize the dataset. Modelled Runkeeper Fitness Dataset using Machine Learning Algorithms and computed the accuracy

TensorFlowComputer Science