Atul S.-Research Assistant – AI Systems & Software Development
Check rate
Experience
Research Assistant – AI Systems & Software Development
Philipps-Universität Marburg
- Designed and ran end-to-end AI implementations across multiple research domains: adapted a PMAM Transformer in PyTorch for historical speech annotation, contributed to large-scale image classification (German Insect Monitoring Scheme), and worked on 3D medical scan segmentation – covering the full cycle from requirement analysis and data preparation through model design, training, evaluation, and output delivery to domain-expert stakeholders.
- Built LLM-based agentic workflows for multi-step contextual retrieval and processing of historical data: orchestrated task routing, retrieval augmentation, and generation stages – gaining practical depth in where LLM systems behave reliably, where they fail, and how to design robust pipelines around these constraints.
- Developed a full-stack web platform in TypeScript and React with a REST API and Elasticsearch backend, integrating AI-driven retrieval into an interactive researcher-facing portal – demonstrating the ability to embed AI components into existing systems end-to-end, not just as standalone models.
- Applied Claude Code and Cursor as primary engineering tools across all projects, with deep practical knowledge of AI-assisted development workflows, their reliability characteristics, and how to integrate them into structured engineering processes for consistent output quality.
Senior Software Engineer
Comviva
- Led the technical implementation of backend integration services for Etisalat UAE, working directly with client stakeholders to understand requirements, assess technical feasibility, design the solution architecture, and deliver reliable service integration – a direct parallel to the forward-deployed client engagement model.
- Developed an internal GenAI support assistant (Comviva Hackathon 2022 Winner) using LangGraph-style multi-step orchestration and JIRA API integration: took the solution from prototype to working internal deployment, including training and onboarding the operations team to use the system effectively.
- Engineered high-throughput backend services in Go and Java applying SOLID design principles, operated Kubernetes/Docker/Helm clusters for multi-instance distributed deployment, and implemented fault-tolerant failover with Redis/KeyDB – ensuring the scalability and reliability of production AI-integrated services.
- Built CI/CD pipelines (Jenkins, GitLab CI) and production observability infrastructure (Grafana, SigNoz) from scratch: systematic approach to verifying that deployed AI and backend systems behave as expected under production load, with structured incident analysis and resolution.
- Collaborated in a fast-paced Agile/Kanban environment across product, DevOps, and QA – conducted peer code reviews, drove technical retrospectives, and delivered consistently against deadlines in complex, multi-stakeholder delivery contexts.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Telecommunication, and Education.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Operations, Product Development, and Research and Development.
Skills
- Ai / Ml: Pytorch, Tensorflow, Hugging Face Transformers, Scikit-Learn, Llm Orchestration, Rag, Semantic Search, Agentic Workflows, Computer Vision, Nlp
- Cloud & Infrastructure: Gcp, Aws, Docker, Kubernetes, Helm, Terraform, Ansible, Ci/Cd (Jenkins, Gitlab Ci)
- Backend & Apis: Rest Apis, Grpc/Protobufs, Apache Kafka, Elasticsearch, Postgresql, Mongodb, Redis, Solid Engineering
- Genai & Dev Tools: Claude Code, Cursor, Prompt Engineering, Langgraph-Style Orchestration, Genai-In-Production Principles Integration
- Observability & Tools: Grafana, Prometheus, Signoz, Git, Jira, Linux, Data Pipeline Design
Languages
Education
Philipps-Universitat Marburg
M.Sc. in Computer Science · Computer Science · Marburg, Germany
Motilal Nehru National Institute of Technology, Allahabad
B.Tech. in Information Technology · Information Technology · Prayagraj, India
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Atul is based in Marburg, Germany.
Atul speaks the following languages: English (Advanced), German (Elementary).
Atul has at least 4 years of experience. During this time, Atul has worked in at least 2 different roles and for 2 different companies. The average length of individual experience is 2 years and 2 months. Note that Atul may not have shared all experience and actually has more experience.
Based on recent experience, Atul would be well-suited for roles such as: Research Assistant – AI Systems & Software Development, Senior Software Engineer.
Atul's most recent position is Research Assistant – AI Systems & Software Development at Philipps-Universität Marburg.
In recent years, Atul has worked for Philipps-Universität Marburg and Comviva.
Atul is most experienced in industries like Information Technology, Telecommunication, and Education.
Atul is most experienced in business areas like Information Technology, Operations, and Product Development. Atul also has some experience in Research and Development.
Atul holds a Master in Computer Science from Philipps-Universitat Marburg and a Bachelor in Information Technology from Motilal Nehru National Institute of Technology, Allahabad.
The availability of Atul needs to be confirmed.
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 14 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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