Sachin Meena

Software Engineer

Bengaluru, Karnataka, India7 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Machine Learning and AI development.
Proven track record in optimizing software processes.
Strong foundation in data analysis and algorithm design.

Stackforce AI infers this person is a Software Engineer with a focus on Machine Learning and Data Science in a B2B environment.

Contact

Skills

Core Skills

Software DevelopmentMachine LearningWeb DevelopmentJavaData ScienceResearch

Other Skills

AlgorithmsAnalytical SkillsArtificial IntelligenceArtificial Intelligence (AI)CC++Cascading Style Sheets (CSS)Chatbot DevelopmentComputer ScienceCustomer ServiceData AnalysisData AnalyticsData StructuresDjangoFront-End Development

About

I'm currently working at Amazon in the Consumer Engagement org. My primary interests lie in the field of Algorithmic Development, Machine Learning, and Artificial Intelligence.

Experience

7 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

7 yrs

Current Experience

Amazon

Software Developer

Jun 2019 – Present · 7 yrs · Bengaluru Area, India

Software DevelopmentMachine LearningArtificial IntelligenceData Analysis

Mathworks

Engineer, EDG

Jul 2018 – Jun 2019 · 11 mos · Bengaluru Area, India

Amazon

Software Developer Internship

May 2017 – Jul 2017 · 2 mos · Gurgaon, India

Project: Self Service Tool for PII Data in Merchant Portal
Merchant Technologies Team
1. Developed tool to automate processing of data requirements from business teams, optimizing developer performance
2. Deployed LDAP authenticated web application to fetch data from Amazon servers using JAVA, JSP and SpringMVC
3. Reduced 10+ man hours per request by creating web interface that processes 200 merchants' data under 5 minutes

JavaJSPSpringMVCWeb Development

Newgen software

Analytics Research Internship

Jan 2017 – Mar 2017 · 2 mos · Noida Area, India

Project: An End-to-End Approach for Network Flows
Supervisor: Dr. Sayaji Hande
1. Conceptualized an innovative extension of Little's Law to over 2 nodes by exploiting Queueing, Markovian theories
2. Hypothesized and proved node's net arrival rate to be weighted sum of incoming transitions' stationary probabilities
3. Developed Monte Carlo simulation tool capable of handling over 10000 customer process flows with over 100 nodes
4. Simulated and compiled resource usage and processing time plots enabling tool user to pinpoint troublesome nodes
5. Coauthored "An End-to-End Approach for Network Flows" which is accepted for IISA 2017 conference

Queueing TheoryMarkovian TheoriesMonte Carlo SimulationData ScienceResearch

Shadowfax technologies pvt ltd

Software Developer Internship

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

1. Scripted autonomous engine accurate by 60%; programmed system to cut response time from 120 to few minutes
2. Created a facebook messenger integrated chatbot using Django, capable of replying to user queries on order details
3. Reduced man hours required in answering ETA and contact details user queries to the tune of up to 2 hours a day

DjangoChatbot DevelopmentScriptingSoftware DevelopmentWeb Development