Shashi Kumar Vemula
MLOps EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MLOps Engineer with 1+ years in GenAI, LLM Systems & Cloud
ML Engineer with 1.5+ years of experience building, deploying, and operating production-grade GenAI and MLOps systems for enterprise pharmaceutical analytics (Gilead Sciences). Hands-on expertise across the full LLM inference lifecycle multi-agent orchestration, RAG pipelines, NL2SQL, prompt engineering, and LLM evaluation (grounding, reliability, latency) on AWS and Databricks. Adept at MLOps best practices including model monitoring, CI/CD automation, and DevSecOps-aligned deployments, with a strong record of translating complex data science workflows into scalable, compliant AI solutions.
IIIT Basar (Rajiv Gandhi University of Knowledge Technologies)
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Setuserv Informatics Pvt. Ltd.
AI/ML Engineer
July 1, 2025 – Present
Hyderābād, Telangana, India
Setuserv Informatics Pvt. Ltd.
AI/ML Intern
January 1, 2025 – June 1, 2025
Hyderābād, Telangana, India
Indian Institute of Technology (IIT) Kharagpur
ML Research Intern
May 1, 2024 – July 1, 2024
India
IIIT Hyderabad
ML Intern
August 1, 2023 – August 1, 2023
Hyderābād, Telangana, India
R2D2 - RAG Pipeline on Amazon OpenSearch
January 1, 2025 – June 1, 2026
Production pipeline: ingestion → chunking → embedding → hybrid indexing → LLM generation with source attribution; multi-turn HCP opinion Q&A deployed on Kubernetes.
C3PO + Deck Automation Agent
January 1, 2025 – June 1, 2026
Multi-agent NL2SQL analytics + automated deck generation replacing 10 days of manual analyst work; benchmarked at 90-95% accuracy with grounding and hallucination checks across 50+ eval queries.
View ProjectDatabricks AI/BI Genie
January 1, 2025 – June 1, 2026
Enabled non-technical users to query pharma data (R3M/P3M, LOT-level market share, regimen breakdowns) in natural language; automated scheduled deck generation for oncology & HIV reporting cycles.
CodeChef 200+ LeetCode problems
Unknown
June 1, 2026 – Present
District Rank 1 Mathematics Olympiad
Unknown
June 1, 2026 – Present
IIT Kharagpur ML Research Intern
Unknown
June 1, 2026 – Present
Centific Premier Elite 100 Hackathon
Unknown
September 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior MLOps Engineer role through diverse project experience spanning GenAI, LLM systems, and traditional ML. Their work on multi-agent systems, RAG pipelines, and NL2SQL solutions showcases innovation and a willingness to tackle complex problems. The involvement in hackathons and competitive programming (CodeChef, LeetCode) indicates a drive for continuous learning and problem-solving. The focus on enterprise solutions in the pharmaceutical domain suggests an understanding of regulated environments and the need for robust, compliant systems. The breadth of skills across ML, MLOps, GenAI, Analytics Engineering, Cloud, and DevOps indicates adaptability and a holistic view of the AI/ML lifecycle.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (reducing manual reporting time, enabling non-technical users), attention to detail (benchmarking accuracy, grounding/hallucination checks), and a focus on operational efficiency (sub-30s rollbacks, CI/CD). The professional experience indicates an ability to work on complex, production-grade systems and integrate various technologies, suggesting strong operational fit and a proactive approach to system architecture and security.