1. Summary
Highlights
Accomplishments
Experience
PRASHOBH PAUL
Maliyekal Nambadan House, Chittilappilly P.O.,, Thrissur, Kerala 680551 | H: 04872305987 | C: 9895757827 |
prashobhpaulnambadan@gmail.com
Developer in the field of Artificial Intelligence offering more than a year in the IT industry
with a focus on software design and development. Extensive knowledge of Natural Language
Processing and Machine Learning.
Data Analysis
Neural Network Architectures
Natural Language Processing
Machine Learning
NLTK
OpenNLP
Stanford Libraries
Library design(Have done editing of
urllib of Python 3.4)
Analytical
Requirements analysis and design
phases
Agile development methodologies
Implemented Date Tagging Model for identifying the date or time related phrases within a
text document that got reused in 3 different projects dealing with Text Analytics.
Was awarded "On the Sport Award" by TCS on 22nd August 2015 for the fast and successful
completion of a critical client project.
100% in Artificial Intelligence for university exam during M.Tech.
College funded R & D project on Smart Plane Climate Analyzer (during B.Tech which was
carried out for research during M.Tech).
Virtual Assistant System:-
A personal assistant system which helps the IT employes to handle all their requirements from
time-sheet entries, leave planner to even the raising complaints and concerns via chat based
conversational system. This is an ongoing project which is expected to go live within a year.
Technologies: Python 3.4.3, NLTK, SKLearn, Bottle Services, uWSGI server, Cloud Based
Deployment.
Automatic Ticket Classification:-
A conversational system to support industry related ticket management system. The system
handles problem descriptions and helps assign the ticket to the right technical pool for the
supprt team to act on it on a minimal time-frame. The project reduced the system-user
interaction time by about 300 times.
Technologies: Python 3.4.3, Java 7, Lucene Indexing, OpenNLP, NLP Pipelines, HBase, NLTK,

2. Education
SKLearn, Bottle Services.
Natural Language Query Engine:-
The system provides an interface to the user for querying his needs in natural language. The
system is capable of identifying the relevant information and populate structured formats
such as JSON structure, SQL etc. Basically conversion of a unstructured data into a structured
format. The layer can be used in converting current form filled and drop-down based user
interface to a human friendly one with changing the underlining system.
Technologies: Java 7, Lucene Indexing, OpenNLP, NLP Pipelines, HBase, MySQL.
2014Knowledge Engg. with Spec. in AI.
SRM University － Chennai, Tamil Nadu, India
88%
2012B.Tech, Computer Science and Engineering
Jawaharlal Nehru Technological University, Hyderabad － Hyderabad, Telangana, India
67%
2008
All India Senior School Certificate Examination, Science Group with Computer
Science
Kendriya Vidyalaya － Thrissur, Kerala, India
62.4%
2006All India Secondary School Examination, (CBSE, 10th)
Kendriya Vidyalaya － Thrissur, Kerala, India
76%