KRISHNA VEER SINGH

Software Engineer

Agra, Uttar Pradesh, India5 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Proficient in Python and Java programming.
Experienced in Machine Learning and Data Science.
Contributed to security projects using LLMs.

Stackforce AI infers this person is a Data Science and AI professional with experience in SaaS and Fintech industries.

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Skills

Core Skills

Machine LearningPython (programming Language)Artificial Intelligence (ai)Data Science

Other Skills

Agile MethodologiesJavaLangChainLarge Language Models (LLM)Prompt EngineeringAI PromptingCommunicationScrumREST APIsOpenAPI specificationsOCR techniquesAI modelsComputer VisionData EngineeringSoftware Development

About

B.Tech in Computer Science student from Bennett University ( Times of India Group ), Batch 2021. M. Tech in Information and Communication Technology with Specialization in Machine Learning from Dhirubhai Ambani Institute of Information and Communication Technology, Batch 2024. A self-motivated learner, who is highly dedicated towards work and life in general and who loves to code in Python and Java. Moreover, a data enthusiast, skilled in Data Science and analytics, Data Engineering, and AI/ML.

Experience

5 yrs

Total Experience

1 yr 4 mos

Average Tenure

1 yr 10 mos

Current Experience

Ibm

2 roles

Software Developer

Jul 2024 – Present · 1 yr 10 mos · Ahmedabad, Gujarat, India · On-site

Software Developer Intern

Jan 2024 – Jul 2024 · 6 mos · Ahmedabad, Gujarat, India · On-site

IBM Engineering Lifecycle Management (ELM) is a suite of applications for systems and software design and development. Teams of professionals work together across geographical and organizational boundaries to design and deliver complex products that improve competitive advantage, national security, and organizations' ability to achieve their missions in many sectors of society.
I worked on migrating from IBM.Juno to Apache.Juneau, generating OpenAPI specifications, and extending standard annotations across the JAF-based ELM product area. I also contributed to the IBM Meraki project, using LLMs to detect and fix security vulnerabilities in code.

Agile MethodologiesPython (Programming Language)JavaLangChainLarge Language Models (LLM)Prompt Engineering+6

Dhirubhai ambani institute of information and communication technology

2 roles

Teaching Assistant

Mar 2023 – Jun 2023 · 3 mos · Gandhinagar, Gujarat, India · On-site

Successfully served as a Teaching Assistant and proficiently delivered training to faculties from various institutes in the "Introduction to JAVA Backend" course, from March 31st 2023 to June 24th 2023. Played a key role in guiding participants through backend development concepts, hands-on coding exercises, and best practices in Java programming.

Teaching Assistant

Aug 2022 – Feb 2024 · 1 yr 6 mos · Gandhinagar, Gujarat, India · On-site

Assisted in the following academic courses:
1. Introduction to Programming Lab – August 2022 to December 2022
2. Data Structures – January 2023 to June 2023
3. Cloud Computing – July 2023 to February 2024
Supported faculty by conducting lab sessions, clarifying student doubts, assisting in grading assignments, and helping students understand core concepts effectively.

Disecto

Python SDE

Jun 2022 – Mar 2023 · 9 mos

Developed algorithms to detect Personal Identifiable Information (PII) in sensitive documents using Presidio Analyzer.
Implemented file classification and management functionalities, including deletion and redaction of classified files.
Utilized OCR techniques (PaddleOCR, EasyOCR) for text detection, refinement, and recognition.
Developed computer vision-based document classification using AI models (VGG16,
CNN).
Implemented computer vision-based document classification using AI models like VGG16 and CNN for Bank statements, ID cards, Cheques, etc.
Contributed to optimizing a BERT-base-NER model for Named Entity Recognition.

Atheropoint llc,

Software Developer and AI-ML research Scientist

Nov 2020 – May 2022 · 1 yr 6 mos · Roseville, California, United States

Here technologies

Intern

May 2020 – Jul 2020 · 2 mos

Bennett university

Deep Learning Intern

May 2019 – Jun 2019 · 1 mo

Worked on the Winton Stock Market Challenge ; Aim is to predict intra and end of the day returns using already given historical stock performance and a host of masked features. As a team , me and my teammates filtered noise data from the given dataset and used regression-based neural networks in Python to make stock predictions utilizing masked features