Mohd Danish Kaleem

Software Engineer

Hyderabad, Telangana, India6 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Distributed Systems and Finance.
  • Proficient in Python and Java programming.
  • Experience in developing AI-driven applications.
Stackforce AI infers this person is a Fintech professional with expertise in software engineering and AI applications.

Contact

Skills

Core Skills

Distributed SystemsFinanceJava Programming LanguagePython

Other Skills

Object Oriented ProgrammingAIMLNatural Language ProcessingJavaKafka StreamsReact.jsTrading ToolsEquitiesBondsArbitrageCommodity MarketsPortfolio Management ToolsPortfolio ManagementEquity TradingApache Kafka

About

I seek full-time opportunities where I can get a chance to apply my problem-solving skills, knowledge of algorithms and creativity to solve challenging problems.

Experience

6 yrs 2 mos
Total Experience
6 yrs 2 mos
Average Tenure
6 yrs 2 mos
Current Experience

The d. e. shaw group

3 roles

Lead Tech, Software Engineer III

Promoted

Dec 2024Present · 1 yr 4 mos · Hyderabad, Telangana, India

Distributed SystemsFinance

Senior Member Tech, Software Engineer II

Promoted

Jan 2022Dec 2024 · 2 yrs 11 mos · Hyderabad, Telangana, India

Member Tech, Software Engineer I

Jan 2020Dec 2021 · 1 yr 11 mos · Hyderabad, Telangana, India

Envestnet | yodlee india

Software Engineer

Jul 2019Sep 2019 · 2 mos · Bangalore

Vskills - a govt. initiative in assessment & learning

Java Intern

Jul 2017Sep 2017 · 2 mos · New Delhi Area, India

  • My area of work included Java Programming Language and Object Oriented Programming. My work included creating MCQ's for their question bank which are ultimately used in their certification exams.
Java Programming LanguageObject Oriented Programming

Geeksforgeeks

Technical Content Writer Intern

May 2017Jan 2018 · 8 mos

  • As an intern, I contributed technical articles and codes based on algorithms and data structure.

Harcourt butler technical university

Summer Intern

May 2017Jul 2017 · 2 mos · Greater Lucknow Area

  • (Under the guidance of Dr. Prabhat Verma, Professor, CSE Dept. HBTU Kanpur)
  • I implemented a Domain Specific Knowledge System to deliver answers to frequently asked questions related to a particular institution during admission time. I created a Chat-Bot using Python as programming language along with AIML (Artificial Intelligence Markup Language) to do pattern matching for response selection.
  • There were 2 phases:
  • 1.Training Phase- We used natural language processing library NLTK to process raw
  • queries (training set) and convert them into a set of synonymous words
  • (reduced query). This in short describes the context/concept of the query.
  • The golden rule applies, more data, better results.
  • 2.Pattern Matching Phase- User’s input was again broken down to a reduced query using NLP and
  • we used AIML files generated from phase 1 to find the closest possible
  • pattern existing in our database for which the answer is known.If such pattern exists we will output the information retrieved from the database or otherwise we will just try to stall the conversation to keep the
  • user interested or apologize for the inability to answer.
  • References:
  • A.L.I.C.E (Artificial Linguistic Internet Computer Entity) which is an award
  • winning open source natural language artificial intelligence chat robot
  • which utilizes AIML (Artificial Intelligence Markup Language) to form
  • responses to queries.
  • Natural Language Toolkit (NLTK Python) is used mainly due to its vastness of
  • corpora and lexical resources. Specifically majorly we will be using Parts of
  • Speech Tagger, Tokenize, Wordnet, Morphy, Synset.
  • Also visit: https://drive.google.com/open?id=0B-tCvLzyt01FVXZveDJYXzlCeE0
PythonAIMLNatural Language Processing

Education

Indian Institute of Engineering Science and Technology (IIEST), Shibpur

Bachelor of Technology (B.Tech.) — Information Technology

Jan 2015Jan 2019

Guru Har Rai Academy

High School — Science

Jan 2001Jan 2014

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