Tejesh sarisa
@tejeshsarisa
Backend AI and cloud-native engineer building scalable microservices and AI agents for real-world business impact.
IndiaWhat I'm looking for
I’m a software engineer specializing in backend development, AI/ML, and cloud-native systems, focused on turning complex, ambiguous problems into robust, scalable, and well-tested solutions that deliver measurable business impact.
In AI internships and project work, I’ve built production-minded AI agents, chatbots, and automation workflows—designing AI pipelines and REST APIs with Python, FastAPI, and LangChain; using ComfyUI, MCP, and n8n for image generation and agentic workflows; and applying RAG with embeddings, vector databases, and LLM orchestration to improve real user outcomes.
I’m especially interested in backend architectures that power AI products—REST APIs, microservices, and event-driven systems backed by relational and NoSQL databases. My projects include PRAGATI (reducing welfare payment verification time from two hours to under ten seconds) and Text2SQL / Agentic-RAG assistants, and I bring a strong focus on clean abstractions, modular code, refactoring, performance tuning, and reliable cloud-native delivery using AWS/GCP, Docker, Kubernetes, and CI/CD.
Experience
Work history, roles, and key accomplishments
• Designed and optimized advanced prompt engineering strategies and adversarial prompt sets to stress-test AI models and improve content robustness for organic growth automation tools.
• Built AI-powered backend pipelines using Python, FastAPI, and LangChain to automate content indexing, classification, and SEO workflows.
• Developed REST APIs integrating LLM-based ranking and content analysis ser
Backend AI Engineer
FlyRank AI
Jun 2026 - Present (1 month)
Designed and optimized adversarial prompt engineering strategies to stress-test AI models for content robustness. Built Python/FastAPI and LangChain backend pipelines and REST APIs integrating LLM-based ranking and content analysis, adding monitoring and error handling for production AI inference endpoints.
Built AI-powered solutions including image generation pipelines, automation workflows, and intelligent chatbots using ComfyUI, MCP, and N8N. Leveraged generative AI and automation frameworks to improve business efficiency and customer engagement.
• Assisted in developing and deploying software and AI solutions for technical research and student innovation projects at Lovely Professional University.
• Built Python-based automation scripts and data processing pipelines to support lab experiments, reducing manual effort by over 50%.
• Contributed to backend API development and database integration tasks using Python and SQL, gaining hands-on
Designed and implemented AI-driven automation tools, chatbot systems, and image generation models tailored for real estate use cases. Developed AI-powered solutions to streamline property workflows and enhance client engagement.
Developed and optimized advanced prompt engineering strategies to improve AI-generated image content quality. Enhanced adversarial robustness and accuracy of Google's Gemini model through systematic red-teaming and adversarial prompt testing via the Adversarial Nibbler program.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
2023 - 2026
MSME Technology Centre Visakhapatnam
Diploma of Education, Mechatronics
2020 - 2023
AP Model School & Jr. College (APMS)
2019 - 2020
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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