Safdar Hashmi
Bengaluru
Summary
Dynamic and results-oriented Lead Machine Learning Engineer with 6+ years of experience driving end-to-end AI product development — from architecture and model design to deployment and optimization. Skilled in large language models (LLMs), MLOps, AIOps, CI/CD pipelines, and advanced retrieval techniques (RAG). Passionate about delivering innovative, scalable, and high-impact AI solutions that transform business outcomes through technical excellence and strong product thinking
Overview
7
7
years of professional experience
Work History
Lead Machine Learning Engineer-Product Development
Mercedes Benz Research & Development India
Bengaluru
01.2022 - Current
- Led the architecture and end-to-end development of a multilingual video translation platform supporting 25+ languages, designing custom audio-video merge algorithms to deliver high-quality, natural localized content.
- Designed and developed a customized Tacotron2-based generative AI voice cloning model, enabling human-like voice synthesis in 30+ languages; reduced audio generation time by 25% through model and pipeline optimizations.
- Built and productionized a scalable Retrieval-Augmented Generation (RAG) pipeline, powering enterprise chatbot systems for real-time, context-aware information retrieval from complex document repositories.
- Engineered an advanced RAG framework using Vision-Language Models (VLMs) to accurately retrieve and summarize content from multimodal documents containing both textual and pictorial data.
- Architected and implemented intelligent, agent-based systems capable of orchestrating workflows, autonomously gathering data, executing actions, and delivering optimal results across enterprise and internal applications.
- Spearheaded the design and deployment of robust MLOps and AIOps pipelines, enabling seamless model lifecycle management, automated testing, and rapid, reliable deployments in production environments.
- Established and maintained full CI/CD pipelines for AI workflows, integrating Git-based version control and continuous integration practices to ensure consistent, high-quality code delivery.
- Led fine-tuning and customization of Large Language Models (LLMs) for specialized Mercedes-Benz use cases, including video, audio, and text scenarios, with domain-specific vocabulary recognition and context understanding.
- Engineered workflows for automated SRT generation and multilingual subtitle processing, streamlining video localization and enhancing accessibility at scale.
- Championed Agile methodologies, mentoring teams to deliver iterative, value-driven features aligned with business priorities, while ensuring strong collaboration and technical excellence.
- Drove substantial cost savings and operational efficiencies, designing AI-driven solutions that reduced manual effort, accelerated timelines, and optimized resource utilization.
AI Engineer
Mu Sigma
Bengaluru
03.2019 - 12.2021
- Developed and integrated AI models into existing systems, collaborating with APIs and microservices to deliver reliable, production-ready solutions.
- Worked extensively with Git for version control, managing feature branches, code merges, pull requests, and ensuring clean, maintainable code.
- Debugged, optimized, and fixed code across multiple AI pipelines, improving runtime stability and reducing error rates.
- Built and maintained CI/CD pipelines to automate builds, tests, and deployments, enabling smooth and rapid delivery cycles.
- Designed and maintained architecture diagrams, clearly documenting system components, data flows, and integration points for internal and cross-team alignment.
- Created comprehensive technical documentation and deployment guides to ensure reproducibility and support knowledge sharing across teams.
- Developed and supported Power BI dashboards, translating data insights into actionable business metrics and visual reports.
Engineering Intern
Microfocus
Bengaluru
08.2018 - 02.2019
- Assisted in developing and maintaining internal software applications and tools.
- Supported API integrations, basic code debugging, and bug fixes across modules.
- Helped prepare technical documentation and update system architecture diagrams.
- Collaborated with senior engineers on testing, deployment activities, and routine maintenance tasks.
Education
Bachelor of Science - Computer Science And Engineering
Viswesaraya Technological University
Bengaluru07-2019
Skills
- Machine learning and deep learning
- MLOps and AIOps
- Generative AI
- CI/CD and DevOps
- Cloud computing and deployments
- LLM models and NLP
- Solution architecture and system design
- Analytics and business intelligence
Accomplishments
- Received IT Innovation award for pioneering an innovative product yielding 45% cost savings by developing a Multimedia translation solution in-house.
- Received Mercedes Benz performer - Silver Award in 2023 & 2024.
- Received Innovative Bravo Award in March 2025.
Languages
English
First Language
Hindi
Proficient (C2)
C2
Arabic
Advanced (C1)
C1
Timeline
Lead Machine Learning Engineer-Product Development
Mercedes Benz Research & Development India
01.2022 - Current
AI Engineer
Mu Sigma
03.2019 - 12.2021
Engineering Intern
Microfocus
08.2018 - 02.2019
Bachelor of Science - Computer Science And Engineering
Viswesaraya Technological University
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