Anwit Jagtap

Product Manager

Bengaluru, Karnataka, India4 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in building scalable evaluation workflows for LLM agents.
Contributed to major open-source projects like Django and Matplotlib.
Strong background in Python and asynchronous systems.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in AI and SaaS.

Contact

anwit.j@turing.com LinkedIn

Skills

Core Skills

PythonAutomationDjangoFlask

Other Skills

Apache KafkaBusiness DevelopmentC++Data ScienceData StructuresDockerJavaKafkaMongoDBNode.jsPandasReactRedisSQLSales Operations

About

I'm a software engineer who enjoys solving messy engineering problems from fixing deep bugs in large open-source systems to building scalable evaluation workflows for LLM agents. My work spans Python, FastAPI, Django, Node.js, and React with experience across async systems and end-to-end product development. At Turing, I help design and train LLM models by feeding them real-world engineering problems, creating multi-turn simulations, and orchestrating large tool-based evaluation environments. I've contributed to debugging and improving open-source projects like Django, SymPy, Matplotlib, Pylint, and Sphinx, especially around tricky async and documentation issues. I like building things that are reliable, testable, and easy to reason about whether it's an API, a simulation framework, or tooling for agent workflows. Outside of work, I spend time sharpening my DSA skills, experimenting with game logic implementations, and exploring new ways to make AI agents behave more like real engineers. If you're working on LLM Agentic Architecture, MCP Integrations, or multimodal AI agents always happy to chat.

Experience

Turing

2 roles

LLM Python Developer

Nov 2024 – Present · 1 yr 4 mos · Remote

Automated the generation of foundational Python code for simulating and testing multi-turn agent interactions by defining the initial and final states of a database and the assertions to validate these states.
Built an evaluation orchestration layer on top of Docker-containerized environments running 60+ services and 600+ tools, validating multi-tool agent tasks through a robust suite of auto-reviewers (multi-turn flow checks, code-block correctness, and tool-use validation)

PythonDockerAutomation

Python Engineer

Nov 2024 – Nov 2025 · 1 yr · Remote

SWE Analysis:
Focused on building a comprehensive dataset to fine tune an LLM, enhancing its ability to handle frontend-specific software issues. Leveraged Expensify, an open-source repository utilizing Node.js, React, JavaScript, and TypeScript, to resolve bugs, deliver feature requests, ultimately improving the model’s software issue resolution capabilities.
SWE Bench Verified:
Collected task instances by crawling Pull Requests and Issues from 12 popular Python repositories like Django, SymPy, Matplotlib, Pylint, Sphinx. Delivered new features related to static analysis capabilities, optimized asynchronous operations, improved api responsiveness, fixed interactive rendering issues and optimized document processing.

DjangoMongoDBPythonApache KafkaFlask

Embibe

Software Engineer

Feb 2022 – Nov 2024 · 2 yrs 9 mos · Bangalore Urban, Karnataka, India · On-site

Content Management Platform
Developed a Django-based content management system supporting 21 diverse content types (Questions, Tests etc). Built a scalable, resilient microservice architecture with FastAPI for content serving platform (CSP) to enhance system performance and integrated Kafka with MongoDB for real-time validation and updates.
Internal Automation Platform
Developed an On-Demand Automation web interface on Flask to trigger cron-based content validation scripts.

PythonDjangoFlaskSystems DesignJavaSpring Boot+6

Trell

Data Scientist

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka, India

Conceptualized and developed a PYMF system for Trell mobile application to enhance the overall customer experience
Increased the average active screen time by 17 seconds by enriching the user interface through the implementation of PYMF
98.8% accuracy obtained on the testing dataset via AdaBoost Algorithm and suggested variables to further improve the accuracy
Deployed the ML model to production through a REST API on FLASK (back end) to facilitate real time cross platform predictions

Oyo

Business Developer

May 2019 – Jul 2019 · 2 mos · Mumbai, Maharashtra, India

Planned, setup and signed home supplies by collaborating with builders, agents, brokers, and homeowners
Proposed potential business deals by contacting potential partners, and conversion rate of 20%
Worked with a cross-functional approach through coordination with multiple teams across the organization
Performed competitive and SWOT analysis of real-estate ecosystem identifying pointers enabling business expansion

Radhakrishnan hall of residence

Overall Coordinator | Social and Cultural

Jul 2018 – Apr 2019 · 9 mos

Elected representative by hall boarders to lead 30 captains, 8 secretaries and 600 students in Social and Cultural General Championship
Spearheaded the team & secured second position in Socult GC winning 3 Gold,14 Silver, & 1 Bronze medal, stacking up 867 points
Managed a budget of about INR 5 lakhs in coordination with hall secretaries for 21 GC events, Rangoli, Open IIT and Teacher's Day
Represented RK Hall in the Sub-committee to reach decisions and coordinate with other halls for various aspects of Socult GC
Initiated renovation of dramatics and music room and set up a sets management system which reduced the budget expense by 20%

Delhivery

Data Scientist

May 2018 – Jul 2018 · 2 mos

Developed an Estimated Time of Arrival(ETA) system to enhance consumer experience to be incorporated in an app
Obtained an accuracy of 97.6% on the testing dataset using Random Forest for Classification and one hot encoding
Prepared a visualisation deck for distribution of delivery times that helped to reduce resource allocation by 10%