V. K. Chaithanya Manam

AI Researcher

San Francisco, California, United States5 yrs 2 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Developed LLM-powered chatbot enhancing survey engagement.
  • Created innovative Qual-Quant Inference Engine for data analysis.
  • Founding developer of Cisco's Cloud Consumption Services.
Stackforce AI infers this person is a SaaS-focused AI and Machine Learning expert with cloud computing expertise.

Contact

LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningCloud Computing

Other Skills

AI Software DevelopmentAWSAmazon Web Services (AWS)Artificial Intelligence (AI)AzureCC++Cisco NexusComputer NetworkingConversational AICrowdsourcingDjangoDockerFastAPIGCP

About

AI Research Engineer with strong experience in building and deploying machine learning and language model applications. Specialized in developing LLM-based systems, including Retrieval-Augmented Generation (RAG), agentic AI workflows, and scalable NLP pipelines. Proficient in Python, PyTorch, TensorFlow, and Hugging Face Transformers. Experienced in orchestrating LLM agents using frameworks like LangChain and LangGraph. Skilled in end-to-end deployment using Docker, Kubernetes, FastAPI, and cloud platforms including AWS, GCP, and Azure.

Experience

5 yrs 2 mos
Total Experience
1 yr 8 mos
Average Tenure
2 yrs 10 mos
Current Experience

Reveal.ai

AI & NLP Research Scientist

Aug 2023 – Present · 2 yrs 10 mos

  • Developed and deployed an LLM-powered conversational survey chatbot to enhance respondent engagement and data quality, replacing a RASA-based system; reduced survey setup time from days to minutes; delivered 50,000+ conversational surveys.
  • Created and integrated LLM-driven analytics to automate discovery of research insights and themes from survey responses, enabling users to get analysis results in minutes rather than weeks in the prior workflow which required a human-in-the-loop.
  • Researched converting qualitative data to quantitative scores using LLMs, developing the Qual-Quant Inference Engine (QQIE). Evaluated six LLMs, comparing their generated scores against human ratings and uncovering challenges related to model consistency and prompt refinement.
  • Collaborated with enterprise clients, including Accenture, 7-Eleven, and ADP, to drive early adoption and successful product integrations. Provided technical and AI expertise to ensure seamless onboarding and maximize value during initial product usage.
LangChain AgentsLLMConversational AIMachine LearningNatural Language Processing (NLP)AI Software Development+8

Cisco systems

2 roles

Cloud Consumption Intern

May 2015 – Aug 2015 · 3 mos · San Jose · On-site

  • Developed a Composite Risk Score (CRS) algorithm (1–100 scale) to assess cloud service risks based on service provider/vendor profile, business, and usage factors.
  • Integrated machine learning and risk analytics into Cisco’s cloud risk management framework, enhancing accuracy and decision-making for cloud adoption.
Machine LearningRisk AnalyticsCloud ComputingPython

Network Consulting Engineer VI

Jul 2012 – Aug 2014 · 2 yrs 1 mo · Bengaluru, Karnataka, India

  • Founding developer of Cisco’s Cloud Consumption Services, an internal startup within the $1.7B Cloud & IT Transformation Services group, launched in 2012 with projected $24M annual revenue.
  • Built and deployed an ML model to classify vendors as cloud/non-cloud and identify service types (IaaS, PaaS, SaaS), enhancing cloud vendor insights and consumption analysis.
  • Delivered Network Optimization Services (NOS) by designing Cisco Nexus data center switch configurations and providing software recommendations.
Machine LearningCloud ComputingNetwork OptimizationPython

Education

Purdue University

Doctor of Philosophy (Ph.D.)

May 2023 – Present

Indian Institute of Technology, Madras

Master of Science (MS) — Computer Science

Jul 2012 – Present

Gandhi Institute of Technology and Management (GITAM)

B.Tech — Computer Science

May 2009 – Present

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