Dec 2023 – Nov 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

• 𝗬𝗥𝗔𝗟 · AI Consultant
• Jan 2025 · Nov 2025 · 11 mos · Remote
• Building scalable GenAI stack and ML systems for feed
• Designed RAG-based content moderation system achieving 86.8% accuracy (26% improvement) using Phi-3.5 4B model with dynamic prompt generation and similarity search
• Optimized LLM inference using SGLang with KV caching, achieving 40-90% cache hit rates and 100-200 tokens/sec throughput on T4 GPU (16GB VRAM)
• Deployed cost-efficient inference infrastructure: T4x2 (19,440 req/USD) vs A100 (24,444 req/hr) with comprehensive hardware benchmarking
• Built scalable user clustering recommendation system reducing computational complexity from 10^12 to 10^6 user-item pairs through strategic segmentation
• Implemented multi-stage candidate generation using Apriori algorithms, IoU scoring, and embedding-based similarity for personalized content delivery
• Architected end-to-end ML pipeline with Cloud Composer (Airflow), GCP BigQuery, Redis caching, and real-time event processing for million scale interactions
• Self-hosted talking head video generation system, supporting image-to-video and video-to-video avatar synthesis
• 𝘀𝗺𝗮𝗹𝗹𝘀𝘁𝗲𝗽.𝗮𝗶 · Founder
• Dec 2023 · May 2025 · 1 yr 6 mos · Remote
• Built Misal · Marathi LLM:
• Pretrained and finetuned Misal 7Bn, 1Bn parameter models with custom tokenizer
• Custom LLM evaluation for regional language
• Impact : Outperformed ChatGPT 3.5 in reading comprehension
• 𝗣𝗲𝗼𝗽𝗹𝗲+𝗮𝗶 · AI Consultant
• Nov 2024 · Dec 2024 · 2 mos · Bengaluru · On-site
• Multilingual LLM · Evals:
• Conducted evaluation of 15+ Indic LLM benchmarks, mapping coverage gaps across 22 Indian languages
• Authored strategic roadmap for 10 trillion token collection across Indian languages
• 𝗠𝗲𝗱𝗣𝗶𝗽𝗲𝗿 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 · AI Consultant
• Jan 2024 · Jun 2024 · 6 mos · Remote
• Built health records extraction platform with sub-second batch latency
• Impact : Reduced report processing time from 10 min to 1 min (10x gains)

Aug 2022 – Jul 2023 · 11 mos · Bengaluru, Karnataka, India

• Document AI - Table Extraction
• Developed a robust solution for extracting rows and columns from tables in images
• Trained a mask-RCNN based model to identify the structure of table components
• Reconstruction of table components for consumption
• Automobile Service Recommendation
• Conducted comprehensive EDA on seasonal trends in services taken
• Discovered key associations between different services taken
• Generated recommendations for individual vehicles based on their unique service histories.
• Impact : Significant increase in service add to cart and service taken rates

Mar 2021 – Aug 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Modelling user item interactions using autoencoders
• Leveraging bottle neck vectors as embeddings
• Creating a querying model to fetch similar interactions
• Built a collaborative filtering model
• Impact : High impact in reads and improvements in monetization observed
• Creating hooks for increasing interaction at the end of each content
• Leveraging Author similarity and common interactions of users
• Generating relevant author embeddings to capture category information
• Impact : 2x growth in reads after a user completed a read
• Next authors to follow model
• Applied clustering and probabilistic approach to compute “follow author” recommendations
• Impact : 20% increase in follow action from author profile page
• Category personalisation "For you" section
• Captured category interests and subcategory interests of users
• Personalised various category combinations
• Impact : Multi front impact on top line, monetisation and author follows observed
• Conducted multiple experiments in "For you" section of the app
• Tested multiple hypothesis to increase reads
• Conducted analysis to get insights of user behaviour across multiple geographies

Dec 2020 – Feb 2021 · 2 mos · Bengaluru, Karnataka, India

Jun 2020 – Sep 2020 · 3 mos · India

Dec 2018 – Apr 2019 · 4 mos · Work from home

• To develop Machine learning tools for algorithmic trading.

Jun 2018 – Jun 2018 · 0 mo · Pune

• Internship organised by Expertshub.
• Various machine learning algorithms hands on experience. Deep learning
• model implemented using tensorflow API on given project.

Jun 2016 – Jan 2020 · 3 yrs 7 mos · Lonere