Pramod Munemanik

Software Engineer

Bengaluru, Karnataka, India13 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

7 years of experience in software development.
Expertise in system design and machine learning.
Proven track record in building automation workflows.

Stackforce AI infers this person is a SaaS-focused software developer with strong expertise in automation and machine learning.

Contact

pramod@instabase.com LinkedIn

Skills

Core Skills

PythonDjangoMachine LearningC++C

Other Skills

AWSAlgorithmsChatBot DevelopmentData StructuresFlaskJavaMySQLNatural Language Processing (NLP)Neural NetworksObject-Oriented Programming (OOP)Operating SystemsPostgresqlRDBMSSQL

About

With over 7 years of experience as a software developer with early age startups like Instabase, MyAlly, I have gained subject matter expertise in System Design, Machine Learning, deep learning, , building fault tolerant distributed systems and developed and mentored automation end to end as a Full Stack Developer (with focus in Back-End) in Python, C/C++ aimed at increasing team efficiency. Earlier as a Software engineer, worked on frameworks and data science models to automate workflows. Tech stack used : Python, Django, Postgresql, Flask , AWS My passion and work are perfectly synchronised when there is a healthy overlap of optimised algorithms with the right heuristics and systems design to crack the code for an unsolvable problem. When I am not engineering for Instabase, you will find me on a court breaking sweat in a basketball game. I am always open to discuss my SME and willing to hear what other experts have to share. Feel free to contact me on pramodmunemanik@gmail.com

Experience

Instabase

3 roles

Senior Solution Engineer

Promoted

Sep 2023 – Present · 2 yrs 6 mos

Solution Engineer

Jun 2021 – Aug 2023 · 2 yrs 2 mos

Application Engineer

Jun 2020 – May 2021 · 11 mos

Worked on building solutions for customers, developed tools for solution engineers to use the platform effectively
Worked on common utilities library to accelerate app development on Instabase.
Defined an end to end process for Solution Engineers to handle customer projects so that it becomes easy for development, future improvements, maintaining the code/workflows.
Built Regular expression tester app on Instabase Platform with syntax highlighting.

My ally (acquired by phenom)

Software Engineer

Jul 2017 – May 2020 · 2 yrs 10 mos · Hyderabad Area, India

Worked on software engineering frameworks and data science models to automate workflows.
Technology stack : Python, Django, Postgresql, Flask , AWS
1) Designed and developed various workflows. Improved automation of workflows significantly delivering speed, accuracy and predictability to the customers. Build Rest APIs and managed continuous deployment to AWS.
2) Improved a candidate experience by implementing asynchronous flow with SQS aws, responsible for building a service using microservice architecture.
3) Pre-Screening ChatBot:
Engineered and implemented end to end platform for taking a pre-screening test. Developed bot on Gupshup platform and created an application for recruiters to add questions and view responses.
4) Candidate Re-engagement ChatBot:
Created a bot to engage with potential candidates, it assesses intelligently and matches talent to the right roles so recruiter only get qualified candidates. Utilized Gupshup and Amazon lex platform to build the bot, and deployed ML models to check relevance of user’s response and make decisions.

PythonDjangoPostgresqlFlaskAWS

Tcs innovation labs

Summer Internship (2015)

May 2015 – Jul 2015 · 2 mos · Mumbai, India

Design and implementation of simulator Interface (to simulate railway timetable):
Designed and built the simulator (to simulate railway timetable) in C++ language. Analyzed simulator performance incorporating delays in the timetable.

Akamai technologies

Summer Internship

Jun 2014 – Jul 2014 · 1 mo · Bangalore, India.

Evaluating datastore for Analytics DB: Analysed and compared the performance of Berkeley DB and RocksDB datastore. Implemented the Inotify mechanism in C and Python languages.

Iit madras

Computer Science and Engineering

Jul 2012 – Jul 2017 · 5 yrs · Chennai, India

Approximation of graph algorithms on GPUs (June 2016 - May 2017) Dual Degree Project, Guide: Prof. Rupesh Nasre
1) Implemented ideas to add controlled measurable approximations to standard algorithms with improvement in running time.
2) Parallelization of Minimum Spanning Tree algorithm and Dijkstra’s using Cuda platform.
3) Added nearest power of two approximations to both MST and Dijkstra’s algorithms to get a meaningful answer in limited time.